WILEY SERIES IN PROBABILITY AND STATISTICS
Established by WALTER A. SHEWHART and SAMUEL S. WILKS
Editors
David J. Balding, Noel A. C. Cressie, Nicholas I. Fisher, Iain M. Johnstone, J. B. Kadane, Geert Molenberghs, David W. Scott, Adrian F. M. Smith, Sanford Weisberg, Harvey Goldstein
Editors Emeriti
Vic Barnett, J. Stuart Hunter, David G. Kendall, 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
AGRESTI • An Introduction to Categorical Data Analysis
AGRESTI • Categorical Data Analysis, Second Edition
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
ANDĔL • 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
* BAILEY • The Elements of Stochastic Processes with Applications to the Natural Sciences
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: Methods & Applications
BARNETT and LEWIS • Outliers in Statistical Data, Third Edition
BARTOSZYNSKI and NIEWIADOMSKA-BUGAJ • Probability and Statistical Inference
BASILEVSKY • Statistical Factor Analysis and Related Methods: Theory and Applications
BASU and RIGDON • Statistical Methods for the Reliability of Repairable Systems
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
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, Third Edition
BERNARDO and SMITH • Bayesian Theory
BERRY, CHALONER and GEWEKE • Bayesian Analysis in Statistics and Econometrics: Essays in Honor of Arnold Zellner
BHAT and MILLER • Elements of Applied Stochastic Processes, Third Edition
BHATTACHARYA and JOHNSON • Statistical Concepts and Methods
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, Third Edition
BIRKES and DODGE • Alternative Methods of Regression
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
BOROVKOV • Ergodicity and Stability of Stochastic Processes
BOSQ and BLANKE • Inference and Prediction in Large Dimensions
BOULEAU • Numerical Methods for Stochastic Processes
BOX • Bayesian Inference in Statistical Analysis
BOX • R. A. Fisher, the Life of a Scientist
BOX and DRAPER • Empirical Model-Building and Response Surfaces
*BOX and DRAPER • Evolutionary Operation: A Statistical Method for Process Improvement
BOX, HUNTER and HUNTER • Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building
BOX, HUNTER and HUNTER • Statistics for Experimenters: Design, Innovation and Discovery, Second Edition
BOX and LUCEÑO • Statistical Control by Monitoring and Feedback Adjustment
BRANDIMARTE • Numerical Methods in Finance: A MATLAB-Based Introduction
BROWN and HOLLANDER • Statistics: A Biomedical Introduction
BRUNNER, DOMHOF and LANGER • Nonparametric Analysis of Longitudinal Data in Factorial Experiments
BUCKLEW • Large Deviation Techniques in Decision, Simulation and Estimation
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
CHATTERJEE and HADI • Regression Analysis by Example, Fourth Edition
CHATTERJEE and HADI • Sensitivity Analysis in Linear Regression
CHATTERJEE and PRICE • Regression Analysis by Example, Third Edition
CHERNICK • Bootstrap Methods: A Practitioner’s Guide
CHERNICK and FRIIS • Introductory Biostatistics for the Health Sciences
CHILÉS and DELFINER • Geostatistics: Modeling Spatial Uncertainty
CHOW and LIU • Design and Analysis of Clinical Trials: Concepts and Methodologies, Second Edition
CLARKE and DISNEY • Probability and Random Processes: A First Course with Applications, Second Edition
*COCHRAN and COX • Experimental Designs, Second Edition
CONGDON • Applied Bayesian Modelling
CONGDON • Bayesian Models for Categorical Data
CONGDON • Bayesian Statistical Modelling
CONGDON • Bayesian Statistical Modelling, Second Edition
CONOVER • Practical Nonparametric Statistics, Second Edition
COOK • Regression Graphics
COOK and WEISBERG • An Introduction to Regression Graphics
COOK and WEISBERG • Applied Regression Including Computing and Graphics
CORNELL • Experiments with Mixtures, Designs, Models and the Analysis of Mixture Data, Third Edition
COVER and THOMAS • Elements of Information Theory
COX • A Handbook of Introductory Statistical Methods
*COX • Planning of Experiments
CRESSIE • Statistics for Spatial Data, Revised Edition
CSÖRGÖ and HORVÁTH • Limit Theorems in Change Point Analysis
DANIEL • Applications of Statistics to Industrial Experimentation
DANIEL • Biostatistics: A Foundation for Analysis in the Health Sciences, Sixth 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
*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
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 • Alternative Methods of Regression
*DODGE and ROMIG • Sampling Inspection Tables, Second Edition
*DOOB • Stochastic Processes
DOWDY, WEARDEN and CHILKO • Statistics for Research, Third Edition
DRAPER and SMITH • Applied Regression Analysis, Third Edition
DRYDEN and MARDIA • Statistical Shape Analysis
DUDEWICZ and MISHRA • Modern Mathematical Statistics
DUNN and CLARK • Applied Statistics: Analysis of Variance and Regression, Second Edition
DUNN and CLARK • Basic Statistics: A Primer for the Biomedical Sciences, Third Edition
DUPUIS and ELLIS • A Weak Convergence Approach to the Theory of Large Deviations
EDLER and KITSOS (editors) • Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment
*ELANDT-JOHNSON and JOHNSON • Survival Models and Data Analysis
ENDERS • Applied Econometric Time Series
ETHIER and KURTZ • Markov Processes: Characterization and Convergence
EVANS, HASTINGS and PEACOCK • Statistical Distribution, Third Edition
FELLER • An Introduction to Probability Theory and Its Applications, Volume I, Third Edition, Revised; Volume II, Second Edition
FISHER and VAN BELLE • Biostatistics: A Methodology for the Health Sciences
FITZMAURICE, LAIRD and WARE • Applied Longitudinal Analysis
*FLEISS • The Design and Analysis of Clinical Experiments
FLEISS • Statistical Methods for Rates and Proportions, Second Edition
FLEMING and HARRINGTON • Counting Processes and Survival Analysis
FULLER • Introduction to Statistical Time Series, Second Edition
FULLER • Measurement Error Models
GALLANT • Nonlinear Statistical Models.
GEISSER • Modes of Parametric Statistical Inference
GELMAN and MENG (editors) • Applied Bayesian Modeling and Casual Inference from Incomplete-data Perspectives
GEWEKE • Contemporary Bayesian Econometrics and Statistics
GHOSH, MUKHOPADHYAY and SEN • Sequential Estimation
GIESBRECHT and GUMPERTZ • Planning, Construction and Statistical Analysis of Comparative Experiments
GIFI • Nonlinear Multivariate Analysis
GIVENS and HOETING • Computational Statistics
GLASSERMAN and YAO • Monotone Structure in Discrete-Event Systems
GNANADESIKAN • Methods for Statistical Data Analysis of Multivariate Observations, Second Edition
GOLDSTEIN and LEWIS • Assessment: Problems, Development and Statistical Issues
GREENWOOD and NIKULIN • A Guide to Chi-Squared Testing
GROSS and HARRIS • Fundamentals of Queueing Theory, Third Edition
*HAHN and SHAPIRO • Statistical Models in Engineering
HAHN and MEEKER • Statistical Intervals: A Guide for Practitioners
HALD • A History of Probability and Statistics and their Applications Before 1750
HALD • A History of Mathematical Statistics from 1750 to 1930
HAMPEL • Robust Statistics: The Approach Based on Influence Functions
HANNAN and DEISTLER • The Statistical Theory of Linear Systems
HEIBERGER • Computation for the Analysis of Designed Experiments
HEDAYAT and SINHA • Design and Inference in Finite Population Sampling
HEDEKER and GIBBONS • Longitudinal Data Analysis
HELLER • MACSYMA for Statisticians
HINKELMANN and KEMPTHORNE • Design and Analysis of Experiments, Volume 1: Introduction to Experimental Design
HINKELMANN and KEMPTHORNE • Design and analysis of experiments, Volume 2: Advanced Experimental Design
HOAGLIN, MOSTELLER and TUKEY • Exploratory Approach to Analysis of Variance
HOAGLIN, MOSTELLER and TUKEY • Exploring Data Tables, Trends and Shapes
*HOAGLIN, MOSTELLER and TUKEY • Understanding Robust and Exploratory Data Analysis
HOCHBERG and TAMHANE • Multiple Comparison Procedures
HOCKING • Methods and Applications of Linear Models: Regression and the Analysis of Variance, Second Edition
HOEL • Introduction to Mathematical Statistics, Fifth Edition
HOGG and KLUGMAN • Loss Distributions
HOLLANDER and WOLFE • Nonparametric Statistical Methods, Second Edition
HOSMER and LEMESHOW • Applied Logistic Regression, Second Edition
HOSMER and LEMESHOW • Applied Survival Analysis: Regression Modeling of Time to Event Data
HUBER • Robust Statistics
HUBERTY • Applied Discriminant Analysis
HUNT and KENNEDY • Financial Derivatives in Theory and Practice, Revised Edition
HUSKOVA, BERAN and DUPAC • Collected Works of Jaroslav Hajek—with Commentary
HUZURBAZAR • Flowgraph Models for Multistate Time-to-Event Data
IMAN and CONOVER • A Modern Approach to Statistics
JACKSON • A User’s Guide to Principle Components
JOHN • Statistical Methods in Engineering and Quality Assurance
JOHNSON • Multivariate Statistical Simulation
JOHNSON and BALAKRISHNAN • Advances in the Theory and Practice of Statistics: A Volume in Honor of Samuel Kotz
JOHNSON and BHATTACHARYYA • Statistics: Principles and Methods, Fifth Edition
JUDGE, GRIFFITHS, HILL, LU TKEPOHL and LEE • The Theory and Practice of Econometrics, Second Edition
JOHNSON and KOTZ • Distributions in Statistics
JOHNSON and KOTZ (editors) • Leading Personalities in Statistical Sciences: From the Seventeenth Century to the Present
JOHNSON, KOTZ and BALAKRISHNAN • Continuous Univariate Distributions, Volume 1, Second Edition
JOHNSON, KOTZ and BALAKRISHNAN • Continuous Univariate Distributions, Volume 2, Second Edition
JOHNSON, KOTZ and BALAKRISHNAN • Discrete Multivariate Distributions
JOHNSON, KOTZ and KEMP • Univariate Discrete Distributions, Second Edition
JURE ČKOVÁ and SEN • Robust Statistical Procedures: Asymptotics and Interrelations
JUREK and MASON • Operator-Limit Distributions in Probability Theory
KADANE • Bayesian Methods and Ethics in a Clinical Trial Design
KADANE and SCHUM • A Probabilistic Analysis of the Sacco and Vanzetti Evidence
KALBFLEISCH and PRENTICE • The Statistical Analysis of Failure Time Data, Second Edition
KARIYA and KURATA • Generalized Least Squares
KASS and VOS • Geometrical Foundations of Asymptotic Inference
KAUFMAN and ROUSSEEUW • Finding Groups in Data: An Introduction to Cluster Analysis
KEDEM and FOKIANOS • Regression Models for Time Series Analysis
KENDALL, BARDEN, CARNE and LE • Shape and Shape Theory
KHURI • Advanced Calculus with Applications in Statistics, Second Edition
KHURI, MATHEW and SINHA • Statistical Tests for Mixed Linear Models
*KISH • Statistical Design for Research
KLEIBER and KOTZ • Statistical Size Distributions in Economics and Actuarial Sciences
KLUGMAN, PANJER and WILLMOT • Loss Models: From Data to Decisions
KLUGMAN, PANJER and WILLMOT • Solutions Manual to Accompany Loss Models: From Data to Decisions
KOTZ, BALAKRISHNAN and JOHNSON • Continuous Multivariate Distributions, Volume 1, Second Edition
KOTZ and JOHNSON (editors) • Encyclopedia of Statistical Sciences: Volumes 1 to 9 with Index
KOTZ and JOHNSON (editors) • Encyclopedia of Statistical Sciences: Supplement Volume
KOTZ, READ and BANKS (editors) • Encyclopedia of Statistical Sciences: Update Volume 1
KOTZ, READ and BANKS (editors) • Encyclopedia of Statistical Sciences: Update Volume 2
KOVALENKO, KUZNETZOV and PEGG • Mathematical Theory of Reliability of Time-Dependent Systems with Practical Applications
KUROWICKA and COOKE • Uncertainty Analysis with High Dimensional Dependence Modelling
LACHIN • Biostatistical Methods: The Assessment of Relative Risks
LAD • Operational Subjective Statistical Methods: A Mathematical, Philosophical and Historical Introduction
LAMPERTI • Probability: A Survey of the Mathematical Theory, Second Edition
LANGE, RYAN, BILLARD, BRILLINGER, CONQUEST and GREENHOUSE • Case Studies in Biometry
LARSON • Introduction to Probability Theory and Statistical Inference, Third Edition
LAWLESS • Statistical Models and Methods for Lifetime Data, Second Edition
LAWSON • Statistical Methods in Spatial Epidemiology, Second Edition
LE • Applied Categorical Data Analysis
LE • Applied Survival Analysis
LEE and WANG • Statistical Methods for Survival Data Analysis, Third Edition
LEPAGE and BILLARD • Exploring the Limits of Bootstrap
LEYLAND and GOLDSTEIN (editors) • Multilevel Modelling of Health Statistics
LIAO • Statistical Group Comparison
LINDVALL • Lectures on the Coupling Method
LINHART and ZUCCHINI • Model Selection
LITTLE and RUBIN • Statistical Analysis with Missing Data, Second Edition
LLOYD • The Statistical Analysis of Categorical Data
LOWEN and TEICH • Fractal-Based Point Processes
MAGNUS and NEUDECKER • Matrix Differential Calculus with Applications in Statistics and Econometrics, Revised Edition
MALLER and ZHOU • Survival Analysis with Long Term Survivors
MALLOWS • Design, Data and Analysis by Some Friends of Cuthbert Daniel
MANN, SCHAFER and SINGPURWALLA • Methods for Statistical Analysis of Reliability and Life Data
MANTON, WOODBURY and TOLLEY • Statistical Applications Using Fuzzy Sets
MARCHETTE • Random Graphs for Statistical Pattern Recognition
MARKOVICH • Nonparametric Analysis of Univariate Heavy-Tailed Data: Research and practice
MARDIA and JUPP • Directional Statistics
MARKOVICH • Nonparametric Analysis of Univariate Heavy-Tailed Data: Research and Practice
MARONNA, MARTIN and YOHAI • Robust Statistics: Theory and Methods
MASON, GUNST and HESS • Statistical Design and Analysis of Experiments with Applications to Engineering and Science, Second Edition
MCCULLOCH and SERLE • Generalized, Linear and Mixed Models
MCFADDEN • Management of Data in Clinical Trials
MCLACHLAN • Discriminant Analysis and Statistical Pattern Recognition
MCLACHLAN, DO and AMBROISE • Analyzing Microarray Gene Expression Data
MCLACHLAN and KRISHNAN • The EM Algorithm and Extensions
MCLACHLAN and PEEL • Finite Mixture Models
MCNEIL • Epidemiological Research Methods
MEEKER and ESCOBAR • Statistical Methods for Reliability Data
MEERSCHAERT and SCHEFFLER • Limit Distributions for Sums of Independent Random Vectors: Heavy Tails in Theory and Practice
MICKEY, DUNN and CLARK • Applied Statistics: Analysis of Variance and Regression, Third Edition
*MILLER • Survival Analysis, Second Edition
MONTGOMERY, PECK and VINING • Introduction to Linear Regression Analysis, Fourth Edition
MORGENTHALER and TUKEY • Configural Polysampling: A Route to Practical Robustness
MUIRHEAD • Aspects of Multivariate Statistical Theory
MULLER and STEWART • Linear Model Theory: Univariate, Multivariate and Mixed Models
MURRAY • X-STAT 2.0 Statistical Experimentation, Design Data Analysis and Nonlinear Optimization
MURTHY, XIE and JIANG • Weibull Models
MYERS and MONTGOMERY • Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Second Edition
MYERS, MONTGOMERY and VINING • Generalized Linear Models. With Applications in Engineering and the Sciences
† NELSON • Accelerated Testing, Statistical Models, Test Plans and Data Analysis
† NELSON • Applied Life Data Analysis
NEWMAN • Biostatistical Methods in Epidemiology
OCHI • Applied Probability and Stochastic Processes in Engineering and Physical Sciences
OKABE, BOOTS, SUGIHARA and CHIU • Spatial Tesselations: Concepts and Applications of Voronoi Diagrams, Second Edition
OLIVER and SMITH • Influence Diagrams, Belief Nets and Decision Analysis
PALTA • Quantitative Methods in Population Health: Extentions of Ordinary Regression
PANJER • Operational Risks: Modeling Analytics
PANKRATZ • Forecasting with Dynamic Regression Models
PANKRATZ • Forecasting with Univariate Box-Jenkins Models: Concepts and Cases
*PARZEN • Modern Probability Theory and Its Applications
PEÑA, TIAO and TSAY • A Course in Time Series Analysis
PIANTADOSI • Clinical Trials: A Methodologic Perspective
PORT • Theoretical Probability for Applications
POURAHMADI • Foundations of Time Series Analysis and Prediction Theory
PRESS • Bayesian Statistics: Principles, Models and Applications
PRESS • Subjective and Objective Bayesian Statistics, Second Edition
PRESS and TANUR • The Subjectivity of Scientists and the Bayesian Approach
PUKELSHEIM • Optimal Experimental Design
PURI, VILAPLANA and WERTZ • New Perspectives in Theoretical and Applied Statistics
PUTERMAN • Markov Decision Processes: Discrete Stochastic Dynamic Programming
QIU • Image Processing and Jump Regression Analysis
RAO • Linear Statistical Inference and its Applications, Second Edition RAUSAND and
HØYLAND • System Reliability Theory: Models, Statistical Methods and Applications, Second Edition
RENCHER • Linear Models in Statistics
RENCHER • Methods of Multivariate Analysis, Second Edition
RENCHER • Multivariate Statistical Inference with Applications
RIPLEY • Spatial Statistics
RIPLEY • Stochastic Simulation
ROBINSON • Practical Strategies for Experimenting
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
ROSS • Introduction to Probability and Statistics for Engineers and Scientists
ROSSI, ALLENBY and MCCULLOCH • Bayesian Statistics and Marketing
ROUSSEEUW and LEROY • Robust Regression and Outline Detection
RUBIN • Multiple Imputation for Nonresponse in Surveys
RUBINSTEIN • Simulation and the Monte Carlo Method
RUBINSTEIN and MELAMED • Modern Simulation and Modeling
RYAN • Modern Regression Methods
RYAN • Statistical Methods for Quality Improvement, Second Edition
SALEH • Theory of Preliminary Test and Stein-Type Estimation with Applications
SALTELLI, CHAN and SCOTT (editors) • Sensitivity Analysis
*SCHEFFE • The Analysis of Variance
SCHIMEK • Smoothing and Regression: Approaches, Computation and Application
SCHOTT • Matrix Analysis for Statistics
SCHOUTENS • Levy Processes in Finance: Pricing Financial Derivatives
SCHUSS • Theory and Applications of Stochastic Differential Equations
SCOTT • Multivariate Density Estimation: Theory, Practice and Visualization
*SEARLE • Linear Models
SEARLE • Linear Models for Unbalanced Data
SEARLE • Matrix Algebra Useful for Statistics
SEARLE and WILLETT • Matrix Algebra for Applied Economics
SEBER • Multivariate Observations
SEBER and LEE • Linear Regression Analysis, Second Edition
SEBER and WILD • Nonlinear Regression
SENNOTT • Stochastic Dynamic Programming and the Control of Queueing Systems
*SERFLING • Approximation Theorems of Mathematical Statistics
SHAFER and VOVK • Probability and Finance: Its Only a Game!
SILVAPULLE and SEN • Constrained Statistical Inference: Inequality, Order and Shape Restrictions
SINGPURWALLA • Reliability and Risk: A Bayesian Perspective
SMALL and MCLEISH • Hilbert Space Methods in Probability and Statistical Inference
SRIVASTAVA • Methods of Multivariate Statistics
STAPLETON • Linear Statistical Models
STAUDTE and SHEATHER • Robust Estimation and Testing
STOYAN, KENDALL and MECKE • Stochastic Geometry and Its Applications, Second Edition
STOYAN and STOYAN • Fractals, Random and Point Fields: Methods of Geometrical Statistics
STYAN • The Collected Papers of T. W. Anderson: 1943–1985
SUTTON, ABRAMS, JONES, SHELDON and SONG • Methods for Meta-Analysis in Medical Research
TANAKA • Time Series Analysis: Nonstationary and Noninvertible Distribution Theory
THOMPSON • Empirical Model Building
THOMPSON • Sampling, Second Edition
THOMPSON • Simulation: A Modeler’s Approach
THOMPSON and SEBER • Adaptive Sampling
THOMPSON, WILLIAMS and FINDLAY • Models for Investors in Real World Markets
TIAO, BISGAARD, HILL, PEÑA and STIGLER (editors) • Box on Quality and Discovery: with Design, Control and Robustness
TIERNEY • LISP-STAT: An Object-Oriented Environment for Statistical Computing and Dynamic Graphics
TSAY • Analysis of Financial Time Series
UPTON and FINGLETON • Spatial Data Analysis by Example, Volume II: Categorical and Directional Data
VAN BELLE • Statistical Rules of Thumb
VAN BELLE, FISHER, HEAGERTY and LUMLEY • Biostatistics: A Methodology for the Health Sciences, Second Edition
VESTRUP • The Theory of Measures and Integration
VIDAKOVIC • Statistical Modeling by Wavelets
VINOD and REAGLE • Preparing for the Worst: Incorporating Downside Risk in Stock Market Investments
WALLER and GOTWAY • Applied Spatial Statistics for Public Health Data
WEERAHANDI • Generalized Inference in Repeated Measures: Exact Methods in MANOVA and Mixed Models
WEISBERG • Applied Linear Regression, Second Edition
WELISH • Aspects of Statistical Inference
WESTFALL and YOUNG • Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment
WHITTAKER • Graphical Models in Applied Multivariate Statistics
WINKER • Optimization Heuristics in Economics: Applications of Threshold Accepting
WONNACOTT and WONNACOTT • Econometrics, Second Edition
WOODING • Planning Pharmaceutical Clinical Trials: Basic Statistical Principles
WOOLSON and CLARKE • Statistical Methods for the Analysis of Biomedical Data, Second Edition
WU and HAMADA • Experiments: Planning, Analysis and Parameter Design Optimization
WU and ZHANG • Nonparametric Regression Methods for Longitudinal Data Analysis: Mixed-Effects Modeling Approaches
YANG • The Construction Theory of Denumerable Markov Processes
YOUNG, VALERO-MORA and FRIENDLY • Visual Statistics: Seeing Data with Dynamic Interactive Graphics
*ZELLNER • An Introduction to Bayesian Inference in Econometrics
ZELTERMAN • Discrete Distributions: Applications in the Health Sciences
ZHOU, OBUCHOWSKI and McCLISH • Statistical Methods in Diagnostic Medicine