ESTABLISHED BY WALTER A. SHEWHART AND SAMUEL S. WILKS
Editors: David J. Balding, Noel A. C. Cressie, Garrett M. Fitzmaurice, Geof H. Givens, Harvey Goldstein, Geert Molenberghs, David W. Scott, Adrian F. M. Smith, Ruey S. Tsay, Sanford Weisberg
Editors Emeriti: J. Stuart Hunter, Iain M. Johnstone, Joseph B. Kadane, Jozef L. Teugels
The Wiley Series in Probability and Statistics is well established and authoritative. It covers many topics of current research interest in both pure and applied statistics and probability theory. Written by leading statisticians and institutions, the titles span both state-of-the-art developments in the field and classical methods.
Reflecting the wide range of current research in statistics, the series encompasses applied, methodological and theoretical statistics, ranging from applications and new techniques made possible by advances in computerized practice to rigorous treatment of theoretical approaches.
This series provides essential and invaluable reading for all statisticians, whether in academia, industry, government, or research.
†ABRAHAM and LEDOLTER • Statistical Methods for Forecasting
AGRESTI • Analysis of Ordinal Categorical Data, Second Edition
AGRESTI • An Introduction to Categorical Data Analysis, Second Edition
AGRESTI • Categorical Data Analysis, Third Edition
ALSTON, MENGERSEN, and PETTITT (editors) • Case Studies in Bayesian Statistical Modelling and Analysis
ALTMAN, GILL, and McDONALD • Numerical Issues in Statistical Computing for the Social Scientist
AMARATUNGA and CABRERA • Exploration and Analysis of DNA Microarray and Protein Array Data
AMARATUNGA, CABRERA, and SHKEDY • Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition
ANDrL • Mathematics of Chance
ANDERSON • An Introduction to Multivariate Statistical Analysis, Third Edition
* ANDERSON • The Statistical Analysis of Time Series
ANDERSON, AUQUIER, HAUCK, OAKES, VANDAELE, and WEISBERG • Statistical Methods for Comparative Studies
ANDERSON and LOYNES • The Teaching of Practical Statistics
ARMITAGE and DAVID (editors) • Advances in Biometry
ARNOLD, BALAKRISHNAN, and NAGARAJA • Records
* ARTHANARI and DODGE • Mathematical Programming in Statistics
AUGUSTIN, COOLEN, DE COOMAN, and TROFFAES (editors) • Introduction to Imprecise Probabilities
* BAILEY • The Elements of Stochastic Processes with Applications to the Natural Sciences
BAJORSKI • Statistics for Imaging, Optics, and Photonics
BALAKRISHNAN and KOUTRAS • Runs and Scans with Applications
BALAKRISHNAN and NG • Precedence-Type Tests and Applications
BARNETT • Comparative Statistical Inference, Third Edition
BARNETT • Environmental Statistics
BARNETT and LEWIS • Outliers in Statistical Data, Third Edition
BARTHOLOMEW, KNOTT, and MOUSTAKI • Latent Variable Models and Factor Analysis: A Unified Approach, Third Edition
BARTOSZYNSKI and NIEWIADOMSKA-BUGAJ • Probability and Statistical Inference, Second Edition
BASILEVSKY • Statistical Factor Analysis and Related Methods: Theory and Applications
BATES and WATTS • Nonlinear Regression Analysis and Its Applications
BECHHOFER, SANTNER, and GOLDSMAN • Design and Analysis of Experiments for Statistical Selection, Screening, and Multiple Comparisons
BEH and LOMBARDO • Correspondence Analysis: Theory, Practice and New Strategies
BEIRLANT, GOEGEBEUR, SEGERS, TEUGELS, and DE WAAL • Statistics of Extremes: Theory and Applications
BELSLEY • Conditioning Diagnostics: Collinearity and Weak Data in Regression
†BELSLEY, KUH, and WELSCH • Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
BENDAT and PIERSOL • Random Data: Analysis and Measurement Procedures, Fourth Edition
BERNARDO and SMITH • Bayesian Theory
BHAT and MILLER • Elements of Applied Stochastic Processes, Third Edition
BHATTACHARYA and WAYMIRE • Stochastic Processes with Applications
BIEMER, GROVES, LYBERG, MATHIOWETZ, and SUDMAN • Measurement Errors in Surveys
BILLINGSLEY • Convergence of Probability Measures, Second Edition
BILLINGSLEY • Probability and Measure, Anniversary Edition
BIRKES and DODGE • Alternative Methods of Regression
BISGAARD and KULAHCI • Time Series Analysis and Forecasting by Example
BISWAS, DATTA, FINE, and SEGAL • Statistical Advances in the Biomedical Sciences: Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics
BLISCHKE and MURTHY (editors) • Case Studies in Reliability and Maintenance
BLISCHKE and MURTHY • Reliability: Modeling, Prediction, and Optimization
BLOOMFIELD • Fourier Analysis of Time Series: An Introduction, Second Edition
BOLLEN • Structural Equations with Latent Variables
BOLLEN and CURRAN • Latent Curve Models: A Structural Equation Perspective
BONNINI, CORAIN, MAROZZI, and SALMASO • Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R
BOROVKOV • Ergodicity and Stability of Stochastic Processes
BOSQ and BLANKE • Inference and Prediction in Large Dimensions
BOULEAU • Numerical Methods for Stochastic Processes
BOX • Improving Almost Anything, Revised Edition
* BOX and DRAPER • Evolutionary Operation: A Statistical Method for Process Improvement
BOX and DRAPER • Response Surfaces, Mixtures, and Ridge Analyses, Second Edition
BOX, HUNTER, and HUNTER • Statistics for Experimenters: Design, Innovation, and Discovery, Second Edition
BOX, JENKINS, and REINSEL • Time Series Analysis: Forecasting and Control, Fourth Edition
BOX, LUCEÑO, and PANIAGUA-QUIÑONES • Statistical Control by Monitoring and Adjustment, Second Edition
* BOX and TIAO • Bayesian Inference in Statistical Analysis
* BROWN and HOLLANDER • Statistics: A Biomedical Introduction
CAIROLI and DALANG • Sequential Stochastic Optimization
CASTILLO, HADI, BALAKRISHNAN, and SARABIA • Extreme Value and Related Models with Applications in Engineering and Science
CHAN • Time Series: Applications to Finance with R and S-Plus®, Second Edition
CHARALAMBIDES • Combinatorial Methods in Discrete Distributions
CHATTERJEE and HADI • Regression Analysis by Example, Fourth Edition
CHATTERJEE and HADI • Sensitivity Analysis in Linear Regression
CHEN • The Fitness of Information: Quantitative Assessments of Critical Evidence
CHERNICK • Bootstrap Methods: A Guide for Practitioners and Researchers, Second Edition
CHERNICK and FRIIS • Introductory Biostatistics for the Health Sciences
CHILÈS and DELFINER • Geostatistics: Modeling Spatial Uncertainty, Second Edition
CHIU, STOYAN, KENDALL, and MECKE • Stochastic Geometry and Its Applications, Third Edition
CHOW and LIU • Design and Analysis of Clinical Trials: Concepts and Methodologies, Third Edition
CLARKE • Linear Models: The Theory and Application of Analysis of Variance
CLARKE and DISNEY • Probability and Random Processes: A First Course with Applications, Second Edition
* COCHRAN and COX • Experimental Designs, Second Edition
COLLINS and LANZA • Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences
CONGDON • Applied Bayesian Modelling, Second Edition
CONGDON • Bayesian Models for Categorical Data
CONGDON • Bayesian Statistical Modelling, Second Edition
CONOVER • Practical Nonparametric Statistics, Third Edition
COOK • Regression Graphics
COOK and WEISBERG • An Introduction to Regression Graphics
COOK and WEISBERG • Applied Regression Including Computing and Graphics
CORNELL • A Primer on Experiments with Mixtures
CORNELL • Experiments with Mixtures, Designs, Models, and the Analysis of Mixture Data, Third Edition
COX • A Handbook of Introductory Statistical Methods
CRESSIE • Statistics for Spatial Data, Revised Edition
CRESSIE and WIKLE • Statistics for Spatio-Temporal Data
CSÖRGÖ and HORVÁTH • Limit Theorems in Change Point Analysis
DAGPUNAR • Simulation and Monte Carlo: With Applications in Finance and MCMC
DANIEL • Applications of Statistics to Industrial Experimentation
DANIEL • Biostatistics: A Foundation for Analysis in the Health Sciences, Eighth Edition
* DANIEL • Fitting Equations to Data: Computer Analysis of Multifactor Data, Second Edition
DASU and JOHNSON • Exploratory Data Mining and Data Cleaning
DAVID and NAGARAJA • Order Statistics, Third Edition
DAVINO, FURNO, and VISTOCCO • Quantile Regression: Theory and Applications
* DEGROOT, FIENBERG, and KADANE • Statistics and the Law
DEL CASTILLO • Statistical Process Adjustment for Quality Control
DEMARIS • Regression with Social Data: Modeling Continuous and Limited Response Variables
DEMIDENKO • Mixed Models: Theory and Applications with R, Second Edition
DENISON, HOLMES, MALLICK, and SMITH • Bayesian Methods for Nonlinear Classification and Regression
DETTE and STUDDEN • The Theory of Canonical Moments with Applications in Statistics, Probability, and Analysis
DEY and MUKERJEE • Fractional Factorial Plans
DILLON and GOLDSTEIN • Multivariate Analysis: Methods and Applications
* DODGE and ROMIG • Sampling Inspection Tables, Second Edition
ROHATGI and SALEH • An Introduction to Probability and Statistics, Second Edition
ROLSKI, SCHMIDLI, SCHMIDT, and TEUGELS • Stochastic Processes for Insurance and Finance
ROSENBERGER and LACHIN • Randomization in Clinical Trials: Theory and Practice, Second Edition
ROSSI, ALLENBY, and McCULLOCH • Bayesian Statistics and Marketing
† ROUSSEEUW and LEROY • Robust Regression and Outlier Detection
ROYSTON and SAUERBREI • Multivariate Model Building: A Pragmatic Approach to Regression Analysis Based on Fractional Polynomials for Modeling Continuous Variables
* RUBIN • Multiple Imputation for Nonresponse in Surveys
RUBINSTEIN and KROESE • Simulation and the Monte Carlo Method, Second Edition
RUBINSTEIN and MELAMED • Modern Simulation and Modeling
RUBINSTEIN, RIDDER, and VAISMAN • Fast Sequential Monte Carlo Methods for Counting and Optimization
RYAN • Modern Engineering Statistics
RYAN • Modern Experimental Design
RYAN • Modern Regression Methods, Second Edition
RYAN • Sample Size Determination and Power
RYAN • Statistical Methods for Quality Improvement, Third Edition
SALEH • Theory of Preliminary Test and Stein-Type Estimation with Applications
SALTELLI, CHAN, and SCOTT (editors) • Sensitivity Analysis