Probability and Statistics Resources

 

This site presents access to the recent developments in computational methods, methodology for data analysis and their applications in construction of probabilistic and statistical modeling for decision making under risk that is of interest to researchers and graduate students across a number of academic domains.

I always welcome information regarding any further references for inclusion. You may like to contact me by sending me an email your comments/suggestions or corrections for improvement. Thank you.

Dr. Hossein Arsham   

To search the site, try Edit | Find in page [Ctrl + f]. Enter a word or phrase in the dialogue box, e.g. "parameter" or "probability" If the first appearance of the word/phrase is not what you are looking for, try Find Next.

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1.      General Resources

2.      Interesting and Useful Sites (topical category)

3.      Archival Journal Articles: Authors' Index

4.      Journal Web Sites

5.      Societies & Organizations

6.      Books: Authors' Index

Companion Sites:

·          

·         A Collection of Financial Keywords and Phrases

·         A Collection of Keywords and Phrases for Economics

·         A Collection of Keywords and Phrases for Decision Making

·         A Compendium of External Web Sites Review

·         A Searchable List of All My Web Sites

·          

Archival Journal Articles: Authors' Index

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D

E

F

G

H

I

J

K

L

M

N

O

P

Q

R

S

T

U

V

W

X

Y

Z

Abstract of the papers may be found at: MATH

General Resources

A Basic Scientific Calculator
A Catalog of Mathematics Resources on WWW and the Internet
A Collection of JavaScript E-labs
Agent-Based Computational Economics (ACE)
A New View of Statistics
Applied statistics algorithms (by Alan Miller)
Applied statistics algorithms (from StatLib)
AT&T Laboratories (Research Reports)
Bayesian Inference for the Physical Sciences
Bayesian Model Averaging
Bayes' Revised Probability Applet
Bibliographies (Florida State University)
Bibliography of Wavelet and Time Series Titles
Biological Statistics
Biostatistics & Statistics Sites (by Betty Jung)
Bookstores
BUBL Link
Business Statistics
Chi-square Test for Crosstable Relationship
Classification and Regression Trees
Classification Trees
Clustering
Computational Statistics for Multinomial Distributions
Computers and Computational Statistics
Conferences |I |II |III |Conferences-Euresco|
Consommation et culture matérielle
Current Index to Statistics
Descriptive Statistics
Ecological Data Analysis (by Jean Thioulouse)
Ecology WWW page
Econometric Links
Econometric Software (free)
Economic Journals on the Web
Elsevier Science Pub. Statistics & Probability site
Encyclopedia on Mathematics and Statistics
Environmental SIG
Epidemiology and Biostatistics
Epidemiology Index (by Betty Jung)
Estimating equations and density functions (by Michael McLaughlin)
Excel For Statistical Analysis
Finance and Investments
Financial, Economic, and Others Selected Links (by Marco Guimarăes Dias)
FinWeb
Forecasting Principles (by Scott Armstrong)
Forecasting resources on the web
Forecasting Software Survey
Free Software/Patches (by FORTRAN Library)
German Scientific Computing
Goodness-of-Fit Test for Discrete Random Variables
GRC: The Gordon Research Conferences in the biological, chemical, and physical sciences
Health
History of Statistics (by Peter Lee)
IDEAS (Economics Working Papers)
Index to Math Subject Classification
Inflation Calculator
INFOMINE
Inomics: The Internet Site for Economists
Institute of Mathematical Statistics
Interactive Statistical Calculations
JavaScript Applets for Statistics and Probability
JEL Classification-I
JEL Classification-II
Journals Publishers Links
Literature on Statistical Topics
Marketing Research Resources
Markov Chains
Martindale's Reference Desk
MATH & STATISTICS LINKS
Mathematical Statistics Preprints
Mathematics Archive
Maths, Stats & OR Network
Math World
M/M Queues (by Ken Vastola)
M/M/1 Waiting Line
Mixture Modelling page (by David Dowe)
Multiple Imputation
National Academic Mailing List Service
Neuroimaging Resources (by A. Shackman)
Network Bibliography
Networked Computer Science Technical Reference Library
Online Analysis of Data
Online Software for Clustering
Online Statistical computation
Option Valuation (by Campbell Harvey)
Ordination Methods (by Mike Palmer)
Other Bibliographies on Mathematics
Paired Data Sets Statistics
Political Economy Terms (by Paul Johnson)
Principia Cybernetica Web
Priority Queues (by Lee Killough)
Probabilistic Modeling Process: Decision Analysis
Probability and Statistics (by Bruno Kevius)
Probability Web
Programación Estocastica (by Ramon Sala-Garrido)
Public Health (by Betty Jung)
Publishers Around the World| Publishers (search)| Publishers and Journals| Publishers-Math| Publishers-Archive|
P-values
Questionnaire Design and Surveys Sampling,   Europe Mirror Site.
Real Options in Investments
Quantitative Marketing
Resources in Research (by John Reinard)
Risk Theory (by Arcady Novosyolov)
SCG Newsletter
SciCentral
Search (Statistics Newsgroups)
SIAM Search
Sociology and Statistics
Software Providers
Spatial Statistical Sites
SSE Research in Economic Statistics
Statcodes
Statistical Analysis Software Survey
Topics in Statistical Data Analysis
Statistical Data on the Web
Statistical Glossary
Statistical Journals
Statistical Links
Statistical List Subscription Service
Statistical Science Web
Statistical Tools and Resources
Statistical Training on the Web
| Statisticians (UK)| Statisticians (by Rainer Würländer)|
Statistics (by Conlon, M.)
Statistics (by Michael Parkinson)
Statistics & Social Science
Statistics Around the World
Statistics Course Fully-online
Statistics Education Links
Statistics Glossary
Statistics Network
Statistics on the Web (by Clay Helberg)
Statistics, Statistical Computing, and Mathematics (by Phil Burns)
Statistics to Use
Stochastic Processes with Focus in Petroleum Applications
Stochastic Programming Community
Subject Area Pages
Survey Methodology
System Simulation
Teaching Resources
Testing the Mean
Testing the Variance: Is the Quality that Good?
Test for Homogeneity of Population
Test for Normality
Test for Randomness
Tests for Random Numbers
Time Series Analysis and Forecasting Techniques
UK Statisticians
Visualization of Data
Yahoo:Statistics
Zero Saga & Confusions with Numbers

Interesting and Useful Sites (topical category)


General References
Statistical Societies & Organizations
Statistics References
Statistics Resources
Probability Resources
Data and Data Analysis
Questionnaire Design, Surveys Sampling and Analysis
Statistical Software
Learning Statistics
Econometric and Forecasting
Selected Topics
Glossary Collections Sites
Statistical Tables

Interesting and Useful Sites

General References

| The MBA Page | What is OPRE? | Desk Reference| Another Desk Reference | Spreadsheets | Contacts to Statisticians | Statistics Departments (by country) | Virtual Library | TILE.NET | CataList|

Statistics References

| Conferences | Statistical List Subscription | Stat-L | Stat Discussion Group | List Servers | Math Forum Search | Statistics Journals | Journal Web Sites|

Statistical Societies & Organizations

·         American Statistical Association (ASA)

·         Applied Probability Trust

·         Biomathematics and Statistics Scotland

·         Center for Statistical and Mathematical Computing

·         Classification Society of North America

·         International Association for Statistical Computing

·         International Biometric Society

·         International Society for Bayesian Analysis

·         International Statistical Institute

·         RAND Statistics Group

·         Statistical Engineering Division

Statistics Resources

| Statistics Main Resources | Statistics.Com | STATS | Mathematical and Quantitative Methods | StatServ | WWW Resources | StatLib: Statistics Library | Use and Abuse of Statistics | Statistics Resources | OnLine Text Books|

Probability Resources

|Probability |Virtual Laboratories in Probability and Statistics |The Probability Web |Bayes' Revised Probability Applet |Coin Flipping |Java Applets on Probability |Topics in Probability |PQRS Probability Plot|

Data and Data Analysis

|Chi-square Test for Crosstable Relationship |Computational Statistics for Multinomial Distributions |Goodness-of-Fit Test for Discrete Random Variables |Mean, Standard Deviation, & Coefficient of Variation |MultiVariate Statistics: Mean, Variance, & Covariance |Test for Homogeneity |Test for Normality |Test for Randomness |Testing the Mean |Testing the Variance: Is the Quality that Good? | Topics in Statistical Data Analysis | Exploring Data |A Basic Scientific Calculator|

Statistical Software

| Web Pages that Perform Statistical Calculations | Statistical Software Providers| Martindale's Reference Desk |Statistical Calculators on Web |Online statistical computation | Statistical Software |NCSS Statistical Software | Choosing a Statistical Analysis Package| Descriptive Statistics by Spreadsheet| Statistics with Microsoft Excel|

Learning Statistics

| Statistics Education | Statistics & Decision Sciences | Statistics|

Glossary Collections

The following sites provide a wide range of keywords & phrases. Visit them frequently to learn the language of statisticians.

|Statistics Glossary | SurfStat glossary|

 

Selected Topics
|Regression | Topics in Statistics | Statistical Topics | Biomathematics and Statistics | Introduction to Biostatistics Bartlett Corrections | Statistical Planning | Regression Analysis | Analysis of Variance and Covariance | Significance Testing | Hypothesis Testing | Commentaries on Significance Testing | Bayesian|

Questionnaire Design, Surveys Sampling and Analysis

|Questionnaire Design and Statistical Data Analysis |Summary of Survey Analysis Software | Sampling, Questionnaire Distribution and Interviewing |Survey Software |Multilevel Models Project|

Econometric and Forecasting

|Principles of Forecasting | Econometric Links | Business & Economics Scout Reports | Journal of Forecasting | Economics and Teaching |Box-Jenkins Methodology |

Statistical Tables
The following Web sites provide critical values useful in statistical testing and construction of confidence intervals. The results are identical to those given in almost all textbook. However, in most cases they are more extensive (therefore more accurate).

|Normal Probability Calculation

Journal Web Sites

Advances in Engineering Software
Allgemeines Statistisches Archiv
American Journal of Epidemiology
American Mathematical Monthly
American Mathematical Society Journals
American Statistical Association Journals
Annales de l'Institut Henri Poincaré (B) Probability and Statistics
Annals of the Institute of Statistical Mathematics
Applied Mathematics and Computation
Applied Statistics algorithms
Applied Stochastic Models and Data Analysis
Asia-Pacific Journal of Operational Research
Astronomy & Astrophysics: A European Journal
Australian & New Zealand Journal of Statistics
Biological Conservation
Biometrical Journal
British Medical Journal
Building Research & Information
Canadian Journal of Statistics
Chemometrics and Intelligent Laboratory Systems
Cluster Computing
Communications in Biometry and Crop Science
Communications in Statistics A, and B
Communications in Statistics: Stochastic Models
Computational Economics
Computational Materials Science
Computational Mathematics and Modeling
Computational Statistics
Computational Statistics & Data Analysis
Computer Methods and Programs in Biomedicine
Computer Physics Communications
Computers & Geosciences
Computers & Graphics
Computers & Industrial Engineering
Computers & Mathematics with Applications
Computers and Operations Research
Computers, Environment and Urban Systems
Computers in Human Behavior
Comptes Rendus de l'Académie des Sciences - Series I - Mathematics
Decision and Reasoning under Uncertainty
Decision Sciences Journal
Ecological Modelling
Econometrica
Econometric Reviews
Econometrics Journal
Economic Modelling
Electronic Transactions on Artificial Intelligence
Environmental and Ecological Statistics
Environmental Modelling & Software
Environmetrics
Extremes: Statistical Theory and Applications in Science and Engineering
Finance and Stochastics
Fuzzy Sets and Systems
IEEE Transactions on Reliability
IMS Bulletin
Information Processing Letters
Information Processing & Management
Information Sciences
Insurance: Mathematics and Economics
Intelligent Data Analysis
Intelligent Systems in Accounting Finance and Management
International Journal of Applied Mathematics & Statistics
International Journal of Epidemiology
International Journal of Forecasting
International Journal of Medical Informatics
International Journal of Modelling and Algorithms
International Journal of Production Economics
International Journal of Statistics and Systems
International Statistical Review
Interstat - Statistics on the Internet
Journal of Applied Econometrics
Journal of Biopharmaceutical Statistics
Journal of Business and Economic Statistics
Journal of Chemometrics
Journal of Classification
Journal of Combinatorial Designs
Journal of Computational and Graphical Statistics
Journal of Econometrics
Journal of Economic Behavior & Organization
Journal of Economic Dynamics and Control
Journal of Financial and Quantitative Analysis
Journal of Forecasting
Journal of Hydrology
Journal of Interdisciplinary Mathematics
Journal of Mathematical Biology
Journal of Mathematical Economics
Journal of Multivariate Analysis
Journal of Nonparametric Statistics
Journal of Revenue & Pricing Management
Journal of Risk Finance
Journal of Royal Statistical Society: Series A (Statistics in Society)
Journal of Royal Statistical Society: Series B (Methodological)
Journal of Royal Statistical Society: Series C (Applied Statistics)
Journal of Royal Statistical Society: Series D (The Statistician)
Journal of Solid Waste Technology and Management
Journal of Statistical Computation and Simulation
Journal of Statistical Planning and Inference
Journal of Statistics & Management Systems
Journal of Theoretical Probability
Journal of Time Series Analysis
Journal of Vegetation Science
Journals of the American Statistical Association
Lifetime Data Analysis
Manchester School
Mathematical Social Sciences
Mathematics and Computers in Simulation
Methodology and Computing in Applied Probability
Metrika
Microelectronics and Reliability
Numerische Mathematik
Oxford Bulletin of Economics & Statistics
Pattern Recognition
Pharmaceutical Statistics: The Journal for Applied Statisticians in the Pharmaceutical Industry
Plus Magazine
Probabilistic Engineering Mechanics
Probability Theory and Related Fields
Process Control and Quality
Psychological Methods
Psychometrika
Quality and Reliability Engineering International
Random Operators and Stochastic Equations
Random Structures and Algorithms
Reliability Engineering & System Safety
Researches on Population Ecology
Review of Economics and Statistics
Review of Marketing Science
Risk Analysis
Russian Journal of Numerical Analysis and Mathematical Modelling
Scandinavian Journal of Statistics
Sequential Analysis
SIAM Journal on Scientific Computing
SIAM Journals
SIGNIFICANCE
Socio-Economic Planning Sciences
Sociological Methods and Research
Spatial Vision
Springer Journals in Statistics
Stata Technical Bulletin
Statistica Neerlandica
Statistical Assessment Service
Statistics Education Research Journal
Statistical Inference for Stochastic Processes
Statistical Methods in Medical Research
Statistical Modelling: An International Journal
Statistical Papers
Statistical Science
STATISTICS: A Journal of Theoretical and Applied Statistics
Statistics and Computing
Statistics & Probability Letters
Statistics in Medicine
Statistics in Society
STATS: The Magazine for Students of Statistics
Stochastics
Stochastic Analysis and Applications
Stochastics and Stochastics Reports
Stochastic Environmental Research and Risk Assessment
Stochastic Hydrology and Hydraulics
Stochastic Processes and their Applications
Studies in Nonlinear Dynamics and Econometrics
Technometrics
Theoretical Population Biology
Theory and Decision: An International Journal for Methods and Models in the Social and Decision Sciences
Theory of Probability and its Applications
The Statistician
Uncertainty in Artificial Intelligence
Videre: A Journal of Computer Vision Research

Societies & Organizations

ACM SIGACT
American Mathematical Society
American Statistical Association
Austrian Statistical Society
Baystat
Biomathematics and Statistics Scotland
Center for Applied Probability at Columbia
Center for Statistical and Mathematical Computing
Classification Society of North America
Community of Science
Chance-Constrained & Stochastic Programming
Danish Society for Applied Statistics
Decision Sciences Institute (DSI)
International Association for Statistical Computing
International Statistical Institute
ISI Committee for Statistics in Business and Industry
Los Alamos National Laboratory
Netherlands Society for Statistics and OR
New Zealand Statistical Association
RAND Statistics Group
Royal Statistical Society
Scholarly Societies
Société Française de la Statistique
Society for Risk Analysis
Statistical Engineering Division

Journal Articles

Abdallah H., and Marie R., The uniformized power method for transient solutions of Markov-processes, Computers and Operations Research, 20, 515-526, 1993.

Abraham B., and U. Nair, On characterizing mixtures of some life distributions, Statistical Papers, 42, 387-393, 2001.

Adler R., R. Feldman, and M. Taqqu, (Editors), A Practical Guide to Heavy Tails Statistical Techniques and Applications, Birkhauser, 1998.

Aggarwala R., Some properties of progressive censored order statistics from arbitrary and uniform distributions with applications to inference and simulation, Journal of Statistical Planning and Inference, 70, 1998, 35-49.

Agresti A., Applying R2 type measures to ordered categorical data, Technometrics, 28, 1986, 133-138.

Ahmad I., Goodness-of-fit statistics based on weighted Lp-functionals, Statistics & Probability Letters, 35, 1997, 261-269.

Ahmad I., Modification of some goodness of fit statistics II: two-sample and symmetry testing, Sankhya, A, 58, 1996, 464.

Ahmad M., S. Alalouf, and Y. Chaubey, Estimation of the population total when the population size is unknown, Statistics and Probability Letters, 49, 211-216, 2000.

Ahmed S., Improved biased estimation in an ANOVA model, Linear Algebra and Its Applications, 289, 3-24, 1999.

Ahmed S., Simultaneous estimation of coefficients of variation, Journal of Statistical Planning and Inference, 104, 31-51, 2002.

Aitchison, J., A calibration problem in statistical diagnosis: The clinical amalgamation problem, Biometrika, 66, 357-366, 1979.

Akritas A., Fully nonparametric hypotheses for factorial designs, JASA, 89, 336-343, 1994.

Alam M., and Mani V., Recursive solution technique in a multi-server bi-level queuing system with server breakdowns, IEEE Transactions on Reliability, 38, 416-421, 1989.

Alba M., D. Barrera, and M. Jimenez, A homogeneity test based on empirical characteristic functions, Computational Statistics, 16, 255-270, 2001.

Albano, A., Rapp, P., and Passamante, A., Kolmogorov-Smirnov test distinguishes attractors with similar dimensions, Physical Review: Statistical Physics, Plasm., 1995, 52, 196-199.

Albin J., A note on Rosenblatt distributions, Statistics & Probability Letters, 40, 83-91, 1998.

Alcala' J., Goodness-of-fit test for linear models based on local polynomials, Statistics & Probability Letters, 42, 39-46, 1999.

Ali N., and M. Singh, An alternative estimator in inverse linear regression, J. Statist. Comp. Simul., 14, 1-15, 1981.

Alioum A, Commenges D, A proportional hazards model for arbitrarily censored and truncated data, Biometrics, 52, 512-524, 1996.

Altman D., and B. De Stavola, Practical problems in fitting a proportional hazards model to data with updated measurements of the covariates, Statistics in Medicine, 13, 1994, 301-41.

Amman H., and D. Kendrick, Computing the steady state of linear quadratic optimization models with rational expectations, Economics Letters, 58, 1998, 185-191.

An H., and C. Bing, A Kolmogorov-Smirnov type statistic with application to test for nonlinearity in time series, International Statistical Review, 1991, 59, 287

Andersen P., Ronn B., A nonparametric test for comparing two samples where all observations are either left- or right-censored, Biometrics, 51, 323-329, 1995.

Anderson T., and D. Darling, Asymptotic theory of certain "goodness of fit" criteria based on stochastic processes, Annals of Mathematical Statistic, 23, 193-212, 1952.

Andrés A., and I. Tejedor, On the minimum expected quantity for the validity of the chi-squared test in 2 x 2 tables, Journal of Applied Statistics, 27, 807-820, 2000.

Angus J., A note on the central limit theorem for the bootstrap mean, Comm. Statistics, Theory and Methods, 18, 1979-1982, 1989.

Anselin L., and S. Hudak, Spatial econometrics in practice, Regional Science and Urban Economics, 22, 539-558, 1992. Analyzing space-time data.

Arsham H., The Hodrich-Prescot Filter and Its Applications, in the Encyclopedia of Biostatistics, 2nd ed., Wiley, 2003.

Arsham H., Nonparametric reliability estimation based on a few ordered observations, The Australian Journal of Statistics, 30, 67-76, 1988.

Arsham H., Generalized K-S confidence regions: Some exact results, Journal of Statistical Computation and Simulation, 25, 9-23, 1986.

Arsham H., A modified one-sided K-S confidence region narrower in one tail, Communications in Statistics: Theory and Methods, 16, 17-28, 1987.

Arsham H., Modified K-S confidence regions narrower in one tail, Computational Statistics , 5, 137-149, 1989.

Arsham H., A test sensitive to extreme hidden periodicities, Journal of Stochastic Hydrology and Hydraulics, 11, 323-330, 1997.

Arsham H., Confidence regions having different shapes for the failure distribution function, Journal of Microelectronics and Reliability, 36,1439-1457, 1996.

Arsham H., A Markovian model of consumer buying behavior and optimal advertising pulsing policy, Journal of Computers and Operations Research, 20, 35-48, 1993.

Arsham H., Kuiper's P-value as a measuring tool and decision procedure for the goodness-of-fit test, Journal of Applied Statistics, 15, 131-135, 1988.

Arsham H., A stochastic model of optimal advertising pulsing policy, Journal of Computers and Operations Research, 14, 231-239, 1987.

Arsham H., A generalized confidence region for stress-strength reliability, IEEE Transactions on Reliability, 35, 586-589, 1986.

Arsham H., Seasonal and cyclic forecasting in small firm, American Journal of Small Business, 9, 46-57, 1985.

Arsham H., Balana, A., and D. Gross, Numerical methods for transient solutions of machine repair problems, Journal of Computers and Industrial Engineering, 7, 149-157, 1983.

Arsham H., Ford D., and J. Morse, The efficient market hypothesis in personal finance: Choosing an adjustable or a fix rate mortgage, The Journal of Global Business Issues, 2(2), 191-200, 2008.

Arsham H., Ford D., Morse J., and D. Pitta, The rate decision: Adjustable vs fixed rate mortgages, Journal of Business & Economics Research, 5(11), 31-42, 2007.

Arsham H., and D. Miller, A Poisson process approximation for generalized K-S confidence regions, Journal of Statistica Neerlandica, 39, 291-302, 1985

Atar R., Large deviations and queueing networks: methods for rate function identification, Stochastic Processes and their Applications, 84, 255-296, 1999.

Augustin T., Expected utility within a generalized concept of probability - a comprehensive framework for decision making under ambiguity, Statistical Papers, 43, 5-22, 2002.

Baccelli F., A. Borovkov, and J. Mairesse, Asymptotic results on infinite tandem queueing networks, Probability Theory Relat Fields, 118, 365-405, 2000.

Baddeley A., and R. Gill, Kaplan-Meier estimators for inter-point distance distributions of spatial point processes, Annals of Statistics, 25, 263-292, 1997.

Baddeley A., and M. van Lieshout, Area-interaction point processes, Annals of the Institute of Statistical Mathematics, 1995, 47, 601-619.

Baddeley A., and M. van Lieshout, A non-parametric measure of spatial interaction in point patterns, Statistica Neerlandica, 1997, 50, 344-361.

Bai J., and P. Perron, Testing for and estimation of multiple structural changes, Econometrica, 66, 47-79, 1998.

Bai J., R. Lumsdaine, and H. Stock, 1997, Testing for and dating common breaks in multivariate time series, Review of Economic Studies, 65, 395-432, 1997.

Bai Z., A paradox in least-squares estimation of linear regression models, Statistics & Probability Letters, 42, 167-174, 1999.

Bai Z., Model selection with data-oriented penalty, Journal of Statistical Planning and Inference, 77, 103-117, 1999.

Ball F., R. Milne and G. Yeo, Continuous time Markov chains in a random environment, with application to ion channel modelling, Adv. Appl. Prob., 1994, 26, 919-946.

Bandyopadhyay U., and A. Biswas, Sequential-type nonparametric test using Mann-Whitney statistics, Journal of Applied Statistics, 26, 301-308, 1999.

Bansal N., Some characterizations of the normal distribution, Statistics & Probability Letters, 42, 393-400, 1999.

Barchard K., and A. Hakstian, The robustness of confidence intervals for coefficient alpha under violations of the assumption of essential parallelism, Multivariate Behavioral Research, 32, 1997, 169-191.

Bardina X., M. Jolis and C. Rovira, Weak approximation of the Wiener process from a Poisson process: The multidimensional parameter set case, Statistics & Probability Letters, 50, 245-255, 2000.

Barlow R., and F. Proschan, Importance of system components and fault tree events, Stochastic Processes and their Applications, 3, 153-173, 1975.

Bartlett, M.S., A further note on tests of significance in factor analysis, British Journal of Psychology, 4, 1-2, 1951.

Bartoszynski R., D. Pearl, and J. Lawrence, A multidimensional goodness-of-fit test based on interpoint distances, JASA, 92, 1997, 577.

Bassan B., and F. Spizzichino, Relations among univariate aging, bivariate aging and dependence for exchangeable lifetimes, Journal of Multivariate Analysis 93, 313-339, 2005.

Basak I., Comparison of statistical procedures in analytic hierarchy process using a ranking test, Mathematical and Computer Modelling, 28, 105-118, 1998.

Basu A., On darling-Robbins type confidence sequences and sequential tests with power one for parameters of autoregressive process, Statistics and Probability Letters, 45, 205-214, 1999.

Batabyal A.., and, H. Beladi, The stability of stochastic systems: the case of persistence and resilience, Mathematical and Computer Modelling, 30, 27-34, 1999.

Beals E., Bray-Curtis ordination: an effective strategy for analysis of multivariate ecological data, Adv. Ecol. Res., 14, 1-55, 1984.

Behrends E., On the conditional expectation E(X|X+W) in the case of independent random variables X,W, Statistics & Probability Letters, 41, 397-400, 1999.

Behrens J., Principles and procedures of exploratory data analysis, Psychological Methods, 2, 131-160, 1997.

Beirlant J., On the impossibility of estimating densities in the extreme tail, Statistics & Probability Letters, 43, 57-64, 1999.

Benner R., Contributions to survival analysis, Doctoral Dissertation, Iowa State University, 1998.

Benson Y., and Y. Nikitin, On conditions of Bahadur local asymptotic optimality of weighted Kolmogorov-Smirnov statistics, Journal of Mathematical Sciences, 1995, 75, 1884

Benton T., D. Hand, and M. Crowder, Two Z's are better than one, Journal of Applied Statistics, 31, 239 - 247, 2004.

Berger J., and T. Sellke, Testing a point null hypothesis: The inconcilability of P values and evidence, JASA, 82, 1987, 112-116.

Berger Y., Rate of convergence for asymptotic variance of the Horvitz-Thompson estimator, Journal of Statistical Planning and Inference, l 74, 149-168, 1998.

Berkes I., and E. Csaki, A universal result in almost sure central limit theory, Stochastic Processes and their Applications, 94, 105-134, 2001.

Bhatt A., and R. Karandikar, Robustness of the nonlinear filter: the correlated case, Stochastic Processes and their Applications, 97, 41-58, 2001.

Bhat B., Bayesian analysis for finite Markov chains, Journal of Statistical Planning and Inference, 81, 335-348, 1999.

Bickel D., Robust estimators of the mode and skewness of continuous data, Computational Statistics and Data Analysis, 39, 153-163, 2002.

Bieber S., A hierarchical approach to multigroup factorial invariance, J. of Classification, 3, 1986, 113-134.

Birnbaum Z., and F. Tingey, One-sided confidence contours for probability distribution functions, Annals of Mathematical Statistics, 22, 1951, 592-596.

Bischoff W., E. Hashorva, J. Husler, and F. Miller, On the power of the Kolmogorov test to detect the trend of a Brownian bridge with applications to a change-point problem in regression models, Statistics and Probability Letters, 66, 105-115, 2004.

Bocker J., and M. Bryson, Decision analysis in project management: An overview, IEEE Tram. Eng. Manag., EM-32, 3-9, 1985.

Bollerslev T., R. Chou, and K. Kroner, ARCH modelling in finance: A review of the theory and empirical evidence, Journal of Econometrics, 52, 5-59, 1992.

Bonett D., and E. Seierb, A test of normality with high uniform power, Computational Statistics & Data Analysis, 40, 435-445, 2002.

Boots B., and D. Murdoch, The spatial arrangement of random Voronoi polygons, Computers & Geosciences, 9, 1983, 351-365.

Bora H., et al., Goodness-of-fit tests for the Cauchy distribution, Computational Statistics 16, 97-107, 2001.

Borisov I., A note on Poisson approximation of rescaled set-indexed empirical processes, Statistics and Probability Letters, 46, 101-103, 1999.

Borkowf C., A new nonparametric method for variance estimation and confidence interval construction for Spearman's rank correlation, Computational Statistics and Data Analysis, 34, 219-241, 2000.

Bosch R., Generalized Poisson models arising from Markov processes, Statistics and Probability Letters, 39, 1998, 205-212.

Boucherie R., Boxma O., and K. Sigman, A note on negative customers, GI/G/ workload, and risk processes, Probability in the Engineering and Informational Sciences, 10, 305-311, 1997.

Boulerice B., and G. Ducharme, Smooth tests of goodness-of-fit for directional and axial data, Journal of Multivariate Analysis, 60, 1997, 154.

Bowman A., and P. Foster, Adaptive smoothing and density-based tests of multivariate normality, Journal of the American Statistical Association, 88, 529-537, 1993.

Bradley D.R., Multivariate simulation with DATASIM: The Mihal and Barrett study, Behavior Research Methods, Instruments, & Computers, 1993, 25, 148-163.

Braithwaite V., Beyond Rokeach's equality-freedom model: Two dimensional values in a one dimensional world, Journal of Social Issues, 1994, 50, 67-94.

Braithwaite V. and H. Law, The structure of human values: Testing the adequacy of the Rokeach value survey, Journal of Personality and Social Psychology, 49, 250-263, 1985.

Braverman M., Suprema of compound Poisson processes with light tails, Stochastic Processes and their Applications, 90, 145-156, 2000.

Brillinger D., L. Fernholz, and S. Morgenthaler, (Eds.), The Practice of Data Analysis, Princeton University Press, 1997.

Bring J., A geometric approach to compare variables in a regression model, The American Statistician, 50, 57-62, 1996.

Brown M., and A. Forsythe, Robust test for equality of variances: Modified Levene's test, Journal of the American Statistical Association, 69, 1974, 364-367.

Bueso M., J. Angulo, G. Qian, and F. Alonso, Spatial sampling design based on stochastic complexity, Journal of Multivariate Analysis, 71, 94-110, 1999.

Büning H., An adaptive distribution-free test for the general two-sample problem, Computational Statistics, 17, 297-313, 2002.

Burke M., Multivariate tests-of-fit and uniform confidence bands using a weighted bootstrap, Statistics and Probability Letters, 46, 13-20, 1999.

Cabana A., Transformations of the empirical measure and Kolmogorov-Smirnov tests, The Annals of Statistics, 1996, 24, 2020

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Szczubialka K., A new method of detecting clustering in the data, Chemometrics and Intelligent Lab. Syst., 41, 145-160, 1998.

Tadikamalla P., Kolmogorov-Smirnov type test-statistics for the gamma, Erlang-2 and the inverse Gaussian distributions when the parameters are unknown, Communications in Statistics. Simulation and Computations, 1990, 19, 305-314.

Takahashi T., Statistical inference by normal probability paper, Computers & Industrial Engineering, 37, 121-124, 1999.

Tang S., Some theorems on the ratio of empirical distribution to the theoretical distribution, Pacific Journal of Mathematics, 12, 1107-1114, 1962.

Taplin R., Alternative equations for combining the results of Kalman filters, Computational Statistics & Data Analysis, 29, 231-238, 1990.

Ter Braak C., and I. Prentice, A theory of gradient analysis, Advances in Ecological Research 18, 271-317, 1988.

Thavaneswaran A., Hypothesis testing for some time-series models: A power comparison, Statistics and Probability Letters, 38, 151-156, 1998.

Thoman D., L. Bain and C. Antle, Maximum likelihood estimation, exact confidence interval for reliability, and tolerance limits in the Weibull distribution , Technometrics, 12, 363-371, 1970.

Thrasher R., A note on the use of the K-S statistic as a measure of model strength, Journal of Direct Marketing, 6, 1992, 40-44.

Tierney J., and L. Kadane, Accurate approximations for posterior moments and marginal densities, J. Amer. Statist. Assoc., 81, 82-86, 1986.

Timmer J., A test for a difference between spectral peak frequencies, Computational Statistics & Data Analysis, 30, 45-55, 1999.

Timmer J., and M. König, On generating power law noise, Astronomy and Astrophysics, 300, 707-710, 1995

Titterington D., Estimation of correlation coefficients by elliptical trimming, Appl. Statist., 27, 227-234, 1978.

Tsai C., On the discounted distribution functions of the surplus process perturbed by diffusion, Insurance: Mathematics and Economics, 28, 401-419, 2001.

Tsantas N., Stochastic analysis of a non-homogeneous Markov system, European Journal of Operational Research, 138, 677-685, 2002.

Turnbull R., The empirical distribution function with arbitrarily grouped, censored and truncated data, Journal of the Royal Statistical Society, 38, 290-295, 1976

Tzavelas G., and A. Paliatsos, Truncated quasi-score function in the 1-dependent and stationary case, Statistics and Probability Letters, 53, 1-9, 2001.

Usabel M., Practical approximations for multivariate characteristics of risk processes, Insurance Mathematics and Economics, 25, 397-413, 1999.

Van De Wiel M., The split-up algorithm: a fast symbolic method for computing p-values of distribution-free statistics, Computational Statistics, 16, 519-538, 2001.

Vangel, Confidence intervals for a normal coefficient of variation, The American Statistian, 50, 1996, 21-23.

van Zanten H., A multivariate central limit theorem for continuous local martingales, Statistics & Probability Letters, 50, 229-235, 2000.

Vassiliou P., The perturbed nonhomogeneous Markov systems, Linear Algebra and Its Applications, 289, 319-332, 1999.

Vasudaven M., On Kolmogorov-Smirnov type aligned test in k-sample linear regression, Statistics & Probability Letters, 1990, 10, 23

Vaurio J, Identification of process and distribution characteristics by testing monotonic and non-monotonic trends in failure intensities and hazard rates, Reliability Engineering & System Safety, 64, 345-357, 1999.

Velicer W., and D. Jackson, Component analysis versus common factor analysis: Some issues in selecting an appropriate procedure, Multivariate Behavioral Research, 25, 1990, 1-28.

Vellaisamy P., On compound Poisson approximation for sums of random variables, Statistics & Probability Letters, 41, 179-189, 1999.

Velleman P., Definition and comparison of robust nonlinear data smoothing algorithms, Journal of the American Statistical Association, 75, 1980, 609-615.

Velleman P., and L. Wilkinson, Nominal, ordinal, interval, and ratio typologies are misleading, The American Statistician, 47, 65-72, 1993.

Vsek A., On the diversity of estimates, Computational Statistics and Data Analysis, 34, 67-89, 2000.

Wahlstrom B., Models, modeling and modellers: An application to risk analysis, European Journal of Operational Research, 75, 1994, 477-487.

Waissi, G.Transformation of the unifying density to the normal distribution, Applied Mathematics Letters, 11, 1998, 45-48.

Wan A., Minimum mean squared error estimation in linear regression with an inequality constraint, Journal of Statistical Planning and Inference, 86, 157-173, 2000.

Wandji J., A nonparametric goodness-of-fit test for a class of parametric autoregressive models, J. Statistical Planning and Inference, 71, 1998, 1-18.

Wang H., Admissibility of confidence estimators in the regression model, Journal of Multivariate Analysis, 76, 267-276, 2001. For the cases with number of parameter coefficients not exceeding 5.

Wang P., Sequencing and scheduling customers for a stochastic server, European Journal of Operational Research, 119, 729-738, 1999.

Wang R-Ch. and Ch-H. Chen, Designing a variable sampling plan based on Taguchi's loss function, Journal of Applied Statistics, 26, 1999, 309-314.

Wang Y., R. Yam, and M. Zuo, A multi-criterion evaluation approach to selection of the best statistical distribution, Computers & Industrial Engineering, 47, 165-180, 2004.

Wei B., and F. Hickernell, Regression transformation diagnostics for explanatory variables, Statist. Sinica, 6, 1996, 433-454.

West M., Time series decomposition, Biometrika, 84, 489-494, 1997.

White D., Epsilon-dominating solutions in mean-variance portfolio analysis, European Journal of Operational Research, 105, 1997, 457-466.

White H., Some asymptotic results for learning in single hidden layer feedforward network models, Journal of the American Statistical Association, 84, 1003--1013, 1989.

Whitehead J, Sample size calculations for ordered categorical data, Statistics in Medicine, 12, 2257-2271, 1993.

Wilcox R., Percentage points of a weighted Kolmogorov-Smirnov statistic, Communications in Statistics: Simulation and Computations, 1989, 18, 237-244

Wilcox R., Some practical reasons for reconsidering the Kolmogorov-Smirnov test, British Journal of Mathematical and Statistical, 1997, 50, 9-13.

Wilcox R., Outliers and robust methods, American Psychologist, March Issue, 1998, 300-314.

Wilcox R., Testing whether independent treatment groups have equal medians, Psychometrika, 56, 1991, 381-395.

Wludyka P., and P. Nelson, Two non-parametric, analysis-of-means-type tests for homogeneity of variances, Journal of Applied Statistics, 26, 243-256, 1999.

Wong A., and, J. Wu, Small sample asymptotic inference for the coefficient of variation: normal and nonnormal models, Journal of Statistical Planning and Inference, 104, 73-82, 2002.

Wright S., Adjusted P-values for simultaneous inference, Biometrics, 48, 1005-1013, 1992.

Wu C., Construction of response surface designs for qualitative and quantitative factors, J. Statistical Planning and Inference, 71, 1998, 331-348.

Wu J., and G. Jiang, Small sample likelihood inference for the ratio of means, Computational Statistics & Data Analysis, 38, 181-190, 2001.

Wu Q.-G., Some results on parameter estimation in extended growth curve models, Journal of Statistical Planning and Inference, 88, 285-300, 2000.

Xie M., and Xie, T. He, Zero-inflated Poisson model in statistical process control, Computational Statistics & Data Analysis, 38, 191-201, 2001.

Yang S., A central limit theorem for the bootstrap mean, The American Statistician, 42, 1988, 202-203.

Yatracos Y., Assessing the quality of bootstrap samples and of the bootstrap estimates obtained with finite resampling, Statistics and Probability Letters, 59, 281-292, 2002.

Yengibarian N., Renewal equation on the whole line, Stochastic Processes and their Applications, 85, 237-247, 1999.

Yeo A. and G. Yeo, Selecting satisfactory secretaries, Austral. J. Stats., 1994, 36, 185-198.

Yeo G. and R. Milne, On characterizations of beta and gamma distributions, Statistics & Probability Letters, 1991, 11, 239-242.

Yin B., Y. Zhou, H. Xi, and D. Sun, Sensitivity formulas of performance in two-server cyclic queueing networks with phase-type distributed service times, International Transactions in Operational Research, 6, 649-663, 1999.

Yu G., and C. Huang, A distribution free plotting position, Stochastic Environmental Research and Risk Assessment, 15, 462-476, 2001.

Yu Q., and E. Phadia, Admissibility of the best invariant estimator of a distribution function under the Kolmogorov-Smirnov loss, Communications in Statistics: Theory and Method, 1993, 22, 2103.

Yu Q., and E. Phadia, Minimaxity of the best invariant estimator of a distribution function under the Kolmogorov-Smirnov loss, The Annals of Statistics, 1992, 20, 2192.

Zarepour M., Bootstrapping point processes with some applications, Stochastic Processes and their Applications, 84, 81-90, 1999.

Zarnovitz V., Recent work on business cycles in historical perspectives, Journal of Economic Literature, 23, 523-580, 1985.

Zhang J., and Y. Wu, Likelihood-ratio tests for normality, Computational Statistics and Data Analysis, 49, 709-721, 2005.

Zhang Z., and T. Yanagawa, Generalized Begun-Reid estimators for multiple hazard rates, Journal of Statistical Planning and Inference, 96, 203-220, 2001.

Zheng S., and A.. Seila, Some well-behaved estimators for the M/M/1 queue, Operations Research Letters, 26, 231-235, 2000.

Zhu L., M. Bhatti, and K. Fang, On estimated projection pursuit-type crŕmer-von mises statistics, J. Multivariate Analysis, 63, 1997, 1-14.

Zhu L., and K. Fang, The accurate distribution on the Kolmogorov statistic with applications to bootstrap approximation, Adv. in Appl. Math. 15, 1994, 476-489.

Books: Authors' Index

A

B

C

D

E

F

G

H

I

J

K

L

M

N

O

P

Q

R

S

T

U

V

W

X

Y

Z

Adams W., Slippery Math in Public Affairs: Price Tag and Defense, Dekker. 2002.

Afifi A., and S. Azen, Statistical Analysis: A Computer Oriented Approach, Acad. Press, New York, 1979.

Afifi A., and V. Clark, Computer-Aided Multivariate Analysis, CRC Press, 1996.

Agresti A., Categorical Data Analysis, Wiley, 2002. A complete treatment of the subject. For example, the polytomous logistic regression (multinomial logit model) where the response/class variable has more than 2 categories is discussed is covered in details.

Aitchison J., The Statistical Analysis of Compositional Data, Chapman and Hall, 1987.

Aitchison J., Statistical Concepts and Applications in Medicine, Chapman and Hall, 1997.

Aitchison J., Statistical Prediction Analysis, Chapman and Hall, 1975.

Aitchison J., and Dunsmore, I., Statistical Prediction Analysis, Cambridge University Press, 1975.

Albert A., and L. Gardner Jr., Stochastic Approximation and Nonlinear Regression, The MIT Press, 1967.

Alder H., and E. Roessler, Introduction to Probability and Statistics, Freeman, 1962.

Allen M., Understanding Regression Analysis, New York, Plenum Press, 1997.

Alreck P., and R. Settle, The Survey Research Handbook: Guidelines and Strategies for Conducting a Survey, Irwin Professional Publishing, 1995. A very practical reference with a lot of emphasis on planning.

Altiok T., Performance Analysis of Manufacturing Systems, Springer, New York, 1997.

Altman D, Practical Statistics for Medical Research, CRC Press, 1991.

Altman D., Machin D., Bryant T., and M. Gardner, (eds), Statistics With Confidence, London, BMJ Books, 2000.

Andersen E., Introduction to the Statistical Analysis of Categorical Data, Springer, 1997.

Anderson O., Time Series Analysis and Forecasting: The Box-Jenkins Approach, Butterworths, London, 1976.

Anderson P., Borgan O., Gill R. and N. Keiding, Statistical Models Based on Counting Processes, Springer, New York, 1993.

Anderson T., The Statistical Analysis of Time Series, Wiley, New York, 1994.

Anderson T., and J. Finn, The New Statistical Analysis of Data, Springer, New York, 1996.

Anderson W., Continuous-time Markov Chains: An Applications-Oriented Approach, Springer, New York, 1991.

Anscombe F., Computing in Statistical Science through APL, Springer Verlag, Berlin, 1981.

Antoch J. (Editor), Computational Aspects of Model Choice, Springer Verlag, 1992.

Arlinghaus S. (Ed.), Practical Handbook of Spatial Statistics, CRC, New York, 1996.

Arlinghaus S. (ed.), Practical Handbook of Curve Fitting, CRC Press, 1994.

Armstrong J., (Ed.), Principles of Forecasting: A Handbook for Researchers and Practitioners, Kluwer Academic Pub, 2000.

Arnold B., E. Castillo, and J. Sarabia, Conditional Specification of Statistical Models, Springer, 1999. Provides some good applications of logic-based probability (LBP) approach to a large class of models known as the exponential families.

Arnold B., Nagaraja H., and N. Balakrishnan, A First Course in Order Statistics, Wiley, 1992.

Aron A. and E. & Aron, Statistics for Psychology, Prentice-Hall, 1999.

Artemis Systems, Inc., PC-ISP: Interactive Scientific Processor, User's Guide and Command Description, Chapman and Hall, 1986.

Ary D., L. Jacobs, and A. Razavieh, Introduction to Research in Education, New York, Holt, Rinehart and Winston, 1990.

Ascher H., and Feingold H., Repairable Systems Reliability, Deller, 1984.

Asmussen S., Ruin Probabilities, World Scientific Press, 2000.

Atkinson A. Plots, Transformations, and Regression, Clarendon Press, 1985.

Avery T., and H. Burkhart, Forest Measurements, McGraw-Hill, 1994.

Ayyub B, (Editor), Uncertainty Modeling and Analysis in Civil Engineering, CRC Press, 1997.

Ayyub B, and R. McCuen, Probability, Statistics, and Reliability for Engineers, CRC Press, 1996. Azzalini A., Statistical Inference Based on the likelihood, Chapman & Hall, London, 1996.

Bailar J., and F. Mosteller, Medical Uses of Statistics, New England Journal of Medicine Books, 1992.

Bakeman & Gottman, Observing Interaction: An Introduction to Sequential Analysis, 1986.

Balakrishnan N., and C. Clifford, Order Statistics and Inference: Estimation Methods, Academic Press, 1991.

Balderjahn I., R. Mathar, and M. Schader, (Editors), Classification, Data Analysis and Data Highways, Springer, 1998.

Bancroft T., Topics in Intermediate Statistical Methods, Iowa State Univ., Vol 1., 1986.

Barlow R., Engineering Reliability, ASA-SIAM, 1998.

Barlow R., D. Barthomomew, J. Bremner, and and H. Brunk, Statistical Inference under Order Restrictions, Wiley, 1972.

Barlow R., and F. Proschan, Statistical Theory of Reliability and Life Testing-Probability Models, Holt, Rhinchart and Winston, 1975.

Barlow R., and F. Proschan, Mathematical Theory of Reliability, SIAM, 1996.

Barlow R., N. Mensing, and R. Smiriga, Using influence diagrams to solve a calibration problem, In Probability and Bayesian Statistics, Plenum Press, 1987.

Barnett V., Sampling Survey: Principles & Methods, Wiley, New York, 1995.

Barnett V., Sample Survey Principles and Methods, Arnold, 1991.

Barndorff-Nielsen O., and D. Cox, Statistical Methods for SPC and TQM, CRC Press, 1993.

Barnett V., and T. Lewis, Outliers in Statistical Data, Wiley, New York, 1994.

Barrentine L., Concepts for R&R Studies, ASQ Quality Press, 1991.

Bartlett M., An Introduction to Stochastic Processes, Cambridge, 1961.

Batschelet E., Circular Statistics in Biology. Academic Press, 1981.

Bechhofer R., T. Santner, and D. Goldsman, The Design and Analysis of Experiments for Ranking and Selection, Wiley, 1995.

Belsley, Kuh and Welsch, Regression Diagnostics, Identifying Influential Data and Sources of Collinearity, Wiley, New York.

Bendat J., and A. Piersol, Measurement And Analysis of Random Data, John Wiley & Sons, 1966.

Benninga S., Financial Modeling, MIT Press, 1998.

Benzecri J., Correspondence Analysis Handbook, Marcel Dekker Inc., 1992.

Berger J., Statistical Decision Theory and Bayesian Analysis, Springer, 1978.

Bernardo J., and A. Smith, Bayesian Theory, Wiley, 2000.

Bernstein P., Against the Gods: The Remarkable Story of Risk, Wiley, 1996.

Betha R.M. and R.R. Rhinehart, Applied Engineering Statistics, Statistics: Textbooks and Monographs Series, 121, Marcel Dekker, Inc., 1991.

Bickel P., and K. Doksum, Mathematical Statistics: Basic Ideas and Selected Topics, Holden-Day Inc., San Francisco, 1977.

Bickman L., and D. Rog, (eds.), Handbook of Applied Social Research Methods, Sage Publisher, 1998.

Billingsley P., Weak Convergence of Measures: Applications in Probability, SIAM, 1971.

Billingsley P., Probability and Measure, Wiley, New York, 1995.

Birkes D., and Y. Dodge, Alternative Methods of Regression, Wiley, New York, 1993.

Birnbaum Z., Introduction to Probability and Mathematical Statistics, Harper & Brothers Pub., 1962.

Bland M., An Introduction to Medical Statistics, Oxford University Press, 1995

Blasius J., and M. Greenacre, (eds.), Visualization of Categorical Data, Academic Press, 1998.

Blischke W, and, D. Murthy, Reliability Modeling, Prediction, and Optimization, Wiley, 2000.

Bock R., and W. Krischer, The Data Analysis Brief Book, Springer, 1998.

Bohrnstedt G., and D. Knoke, Statistics for Social Data Analysis, F. E. Peacock Pub., Itasca, IL, 1988.

Bolch G., S. Greiner, H. de Meer and K. Trivedi, Queueing Networks and Markov Chains Modeling and Performance Evaluation with Computer Science Applications, Wiley, 1998.

Bolton S., Pharmaceutical Statistics: Practice and Clinical Applications, Marcel Dekker 1998.

Boomsma A., M. Van Duijn, and T. Snijders, (eds.), Essays on Item Response Theory, Springer Verlag, 2000.

Bowerman B., and R. O'Connell, Computer Modeling for Business and Industry, Marcel Dekker, 1984.

Bowerman B., and R. O'Connell, Forecasting and Time Series: An Applied Approach, Duxbury Press, 1983.

Bowerman and O'Connell, Linear Statistical Models: An Applied Approach, PWS Kent, 1985. Good on theory and practical. Covers simple and multiple linear regression, diagnostics, assumptions etc. Also covers ANOVA, from a regression point-of-view. Many examples use SAS software to generate the output.

Bowman A, and A. Azzalini, Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations, Oxford University Press, London, 1997.

Box G., Jenkins G., and G. Reinsel, Time Series Analysis: Forecasting and Control, Holden-Day, 1994.

Box G., Hunter W., and J. Hunter, Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building, John Wiley & Sons, Inc., New York, NY, 1978.

Box G., and Tiao, Bayesian Inference in Statistical Analysis, Wiley, New York, 1992.

Bozdogan H., and A. Gupta, Multivariate Statistical Modeling and Data Analysis, D. Reidel Pub Co., 1987.

Brandt S., G. Cowan, Data Analysis: Statistical and Computational Methods for Scientists and Engineers, Springer Verlag, 1998.

Breiman, Friedman, Olshen, and Stone, Classification and Regression Trees, Chapman & Hall, 1984.

Brillinger et al. (Eds), Time Series Analysis of Irregularly Observed Data, 1983.

Brockwell P., and R. Davis, A First Course in Time Series Analysis, Springer-Verlag, 1996.

Brown H., and R. Prescott, Applied Mixed Models in Medicine, Wiley, 1999.

Brown S., R. Pakin, and J. Polivka, APL-2 at a Glance, Prentice-Hall Inc., 1988.

Brownlee K., Statistical Theory and Methodology in Science and Engineering, Wiley & Sons, New York, 1965.

Bruning J., and B.L. Kintz, Computational Handbook of Statistics, Longman, New York, 1997.

Bryk A.S. and S.w. Rauenbush, Hierarchical Linear Models, Sage, 1992..

Buckland S., D. Anderson, K. Burnham, and J. Laake, Distance Sampling: Estimating Abundance of Biological Populations, Chapman and Hall, London, 1993.

Buckland S., D. Anderson, K. Burnham, J. Laake, D. Borchers, and L. Thomas, Introduction to Distance Sampling, Oxford University Press, 2001.

Buckley J., Large Deviation Techniques in Decision, Simulation, and Estimation, John Wiely, 1990.

Bunday B., Statistical Methods in Reliability Theory and Practice, New York, E. Horwood, 1991.

Burnham K, D. Anderson, Model Selection and Interference: A Practical Information-Theoretic Approach, Springer-Verlag, New York, 1998.

Burr J., (ed.), Elementary Statistical Quality Control, Dekker, 2002.

Cairoli R., and R. Dalang, Sequential Stochastic Optimization, Wiley, New York, 1995.

Campbell J., A. Lo and C. MacKinley, Econometrics of Financial Markets, Princeton, 1996

Carlin B., and T. Louis, Bayes and Empirical Bayes Methods for Data Analysis, Chapman & Hall, 1996.

Carr R., Statistics In A Day, Warrnambool, XLent Works, 1998.

Carroll R. and D. Ruppert, (1988), Transformation and Weighting in Regression, London, Chapman and Hall.

Casella G., and R. Berger, Statistical Inference, Brooks/Cole Publishing Company, 1990.

Cassel C., C. Sarndal, and J. Wretman, Foundations of Inference in Survey Sampling, New York, John Wiley & Sons, 1977.

Causton D., An introduction to Vegetation Analysis, Unwin Hyman, London, 1988.

Chambers J., Computational Methods for Data Analysis, Wiley & Sons, New York, 1977.

Chambers J., Cleveland, B. Kleiner, and P. Tukey, Graphical Methods for Data Analysis, Duxbury Press, Boston, 1983.

Chapman D., and R. Schaufele, Elementary Probability Models and Statistical Inference, Ginn, 1970.

Charles R., Fundamental Concepts in the Design of Experiments, Oxford University Press, 1993.

Chatfield C., The Analysis of Time Series, Chapman and Hall, 1996.

Chatterjee S., M. Handcock and J. Simonoff, A Casebook for a first course in statistics and data analysis, Wiley, 1998.

Chatterjee S., B. Price, and A. Hadi, Regression Analysis by Example, Wiley, 1999. A very good applied book on regression. Covers computer-based multiple regression.

Chen Z., Intelligent Data Warehousing: From Data Preparation to Data Mining, CRC Press, 2001.

Cherkassky V, and F. Mulier, Learning from Data: Concepts, Theory, and Methods, John Wiley & Sons, 1998.

Chernick M., Bootstrap Methods: A Practitioners Guide, Wiley, 1999.

Chow S-C., and J-P. Liu, Statistical Design and Analysis in Pharmaceutical Sciences: Validation, Process Control, and Stability, Marcel Dekker, 1998.

Chow S-C., and J-P. Liu, Design and Analysis of Bioavailability and Bioequivalence Studies, Marcel Dekker, 1992.

Christakos G., Modern Spatiotemporal Geostatistics, Oxford University Press, 2000.

Christensen R., Linear Models for Multivariate, Time Series and Spatial Data, Springer, 1991.

Clark Ch., and L. Schkade, Statistical Analysis for Administrative Decisions, South-western Pub., 1979.

Clements M., and D. Hendry, Forecasting Non-Stationary Economic Time Series, MIT Press, 1999.

Cleveland W., Visualizing Data, Hobart Pr., 1993.

Cleveland W., The Elements of Graphing Data, CRC Pr., 1994.

Cliff N., Analyzing Multivariate Data, Harcourt Brace Jovanovich, 1987.

Cobb G., Introduction to Design and Analysis of Experiments, Springer, 1998.

Cochran W. and G. Cox, Experimental Design, Wiley & Sons, 1957.

Cody R., and J. Smith, Applied Statistics and the SAS Programming, Prentice Hall, 1997.

Coffey A. and P. Atkinson, Making Sense of Qualitative Data: Complementary Research Strategies, Sage Pub., 1996..

Cohen J., Statistical Power Analysis for the Behavioral Sciences, L. Erlbaum Associates, 1988.

Collett D., Modelling Survival Data in Medical Research, CRC Press, 1994.

Collwtt D., Modeling Binary Data, Chapman and Hall, 1991.

Congdon P., Bayesian Statistical Modelling, Wiley, 2001.

Conover W., Practical Nonparametric Statistics, Wiley 1998.

Converse J. and S. Presser, Survey Questions: Handcrafting the Standardized Questionnaire, Sage, 1986.

Cook R., and S. Weisberg, An Introduction to Regression Graphics, Wiley, New York, 1994.

Cook R., and S. Weisberg, Residuals and Influence in Regression, Chapman and Hall, 1982.

Cooke D., A. Craven, and G. Clarke, Basic Statistical Computing, Wiley, 1990.

Cooper H. and L. Hedges, Handbook of Research Synthesis, Russel Sage Foundation, New York, 1994.

Corfield D., and J. Williamson, Foundations of Bayesianism, Kluwer Academic Publishers, 2001. Contains Logic, Mathematics, Decision Theory, and Criticisms of Bayesianism.

Cormen T., Introduction to Algorithms, McGraw-Hill, 1994.

Cornish-Bowden A., Analysis of Enzyme Kinetic Data, Oxford Univ Press, 1995.

Cox B., Binder D., B. Chinnappa, A. Christianson, M. Colledge, and P. Kott, (Editors), Business Survey Methods, Wiley, 1995.

Cox D., and Snell, Analysis of Binary Data, Chapman Hall, London, 1989. Cowan G., Statistical Data Analysis, Oxford University Press, 1998.

Cox D., and Wermuth N., Multivariate Dependencies; Models, Analysis, and Interpretation, CRC Press, 1996.

Cramer H., Mathematical Methods of Statistics, Princeton University Press, 1966.

Cressie N., Statistics for Spatial Data, Wiley, New York, 1993.

Cromwell J., W. Labys, and M. Terraza, Univariate Tests for Time Series Models, Sage Pub., pp. 20-22, 1994.

Cryer J., Statistics for Business Data Analysis, Kent Publishers, 1991.

Cryer J., Time Series Analysis, Duxbury Press, 1995.

Csorgo M., and L. Horvath, Limit Theorems in Change-Point Analysis, Wiley, Chichester, 1997.

Curnow R., R. Mead, and A.M. Hasted, Statistical Methods in Agriculture and Experimental, CRC Press, 1992.

Czitrom V., and P. Spagon, (Editors), Statistical Case Studies for Industrial Process Improvement, ASA-SIAM, 1997.

Dagnelie P., Statistique théorique et appliquée, Tome 1 & 2, Paris et Bruxelles, De Boeck & Larcier, 1998.

D'Agostino R., and M. Stephens (eds) Goodness-of-fit Techniques. New York. Marcel Dekker, Inc., (1988).

Daly L., and G. Bourke, Interpretation and Uses of Medical Statistics, 5th Ed., Blackwell Scientific Pub., 2000

Daly R., Atmospheric Data Analysis, Cambridge University Press, 1991.

Daniel C., and F. Wood, Fitting Equations to Data, Wiley & Sons, New York, 1981.

Daniel W., Applied Nonparametric Statistics, PWS-Kent, 1990.

David, H.Order Statistics, Wiley 1993.

Davidian M., and D. Giltinan, Nonlinear Mixed Effects Models for Repeated Measurement Data, Chapman and Hall, 1995.

Davis J., Statistics and Data Analysis in Geology, Wiley & Sons, 1973.

Davis W., and H. DeGroot, A new look at Bayesian prediction and calibration, Statistical Decision Theory and Related Topics III, Academic Press, 1982.

Davison A., and D. Hinkley, Bootstrap Methods and their Application, Cambridge University Press, London, 1997.

Dawson (-Saunders) B., and R. Trapp, Biostatistics, 2nd ed., Norwalk CT, Appleton & Lange, 1994.

De Finetti B., Theory of Probability: A Critical Introductory Treatment, Vol 1. Wiley, New York, 1974.

DeGroot M., Probability and Statistics, Addison-Wesley, 1986.

del Castillo E., Statistical Process and Adjustment Methods for Quality Control, Wiley, 2002.

Delijska B., Elsevier's Dictionary of Geographical Information Systems, Elsevier, 2002.

DeLurgio S., Forecasting Principles and Applications, Irwin, McGrow-Hill, 1998.

Dembo A., and O. Zeitouni, Large Deviations Techniques and Applications, Springer, 1998.

Desu and Raghavarao, Sample Size Methodology, Academic Press, 1990.

Devore J., Statistics Exploration & Analysis of Data, West Educational Publishing, 1986.

Dey I., Qualitative Data Analysis: A User-Friendly Guide for Social Scientists, London, Routledge, 1993.

Diamond J., Practical Experiment Designs, Van Nostrand Reinhold, New York, 1989.

Diday E., Y. Lechevallier, and O. Opitz, (Editors), Ordinal and Symbolic Data Analysis, Springer, 1996.

Dielman T., Pooled Cross-sectional and Time Series Data Analysis, Marcel Dekker, 1988.

Digby P., and R. Kempton, Population and Community Biology Series: Multivariate Analysis of Ecological Communities, Chapman and Hall, London, 1987.

Diggle P., Time Series, Oxford: Clarendon Press, 1990.

Diggle P., Spatial Point Processes, Academic Press, 1983.

Diggle P., K. Liang, and S. Zeger, Analysis of Longitudinal Data, Oxford University Press, 1994.

Dilorio F., and K. Hardy, Quick Start to Data Analysis with SAS, Duxbury Press, 1996

Dirschedl P., and R. Ostermann, (eds.), Computational Statistics, Heidelberg, Physica-Verlag, 1994.

Dixon W., BMDP Statistical Software, Univ. of Calif. Press, Berkeley, 1985.

Dixon W., and F. Massey, Introduction to Statistical Analysis, McGraw Hill, 1969.

Dobson, An Introduction to Generalized Linear Models, Chapman & Hall, London, 1990.

Donnelly C., and N. Ferguson, Statistical Aspects of BSE: Models for an Epidemic, CRC Press, 1998.

Drain D., Handbook of Experimental Methods for Process Improvement, Chapman & Hall, 1997.

Draper N., and H. Smith, Applied Regression Analysis, Wiley, 1998, Great book on applied regression with some theoretical components.

Dror M., P. L'Ecuyer, and F. Szidarovszky, (eds.), Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, Kluwer, 2002.

Dryden I., and K. Mardia, Statistical Shape Analysis, Wiley, 1998.

Dudewicz and Mishra, Modern Mathematical Statistics, Wiley, 1998.

Dudewicz E., and T. Ralley, The Handbook of Random Number Generation and Testing with TESTRAND Computer Code, American Sciences Press, Columbus, OH, 1981.

Dunn G., Design and Analysis of Reliability Studies: The Statistical Evaluation of Measurement Errors, Arnold, 1989.

Durbin J., and S. Koopman, Time Series Analysis by State Space Models, Oxford University Press, 2001. Contains vector autoregressions with missing data too.

DuToit S., A. Steyn, and R. Stumpf, Graphical Exploratory Data Analysis, Springer, 1986.

Edwards A., Statistical Analysis for Students in Psychology and Education, Rinehart & So., 1956.

Edwards A., Likelihood, The Johns Hopkins University Press, Baltimore, MD, 1992.

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