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
• ^* DOOB • Stochastic Processes
• DOWDY, WEARDEN, and CHILKO • Statistics for Research, Third Edition
• DRAPER and SMITH • Applied Regression Analysis, Third Edition
• DRYDEN and KENT • Geometry Driven Statistics
• DRYDEN and MARDIA • Statistical Shape Analysis, with Applications in R, Second Edition
• DUDEWICZ and MISHRA • Modern Mathematical Statistics
• DUNN and CLARK • Basic Statistics: A Primer for the Biomedical Sciences, Fourth Edition
• DUPUIS and ELLIS • A Weak Convergence Approach to the Theory of Large Deviations
• EDLER and KITSOS • 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, Third Edition
• ^† ETHIER and KURTZ • Markov Processes: Characterization and Convergence
• EVANS, HASTINGS, and PEACOCK • Statistical Distributions, Third Edition
• EVERITT, LANDAU, LEESE, and STAHL • Cluster Analysis, Fifth Edition
• FEDERER and KING • Variations on Split Plot and Split Block Experiment Designs
• FELLER • An Introduction to Probability Theory and Its Applications, Volume I, Third Edition, Revised; Volume II, Second Edition
• FITZMAURICE, LAIRD, and WARE • Applied Longitudinal Analysis, Second Edition
• ^* FLEISS • The Design and Analysis of Clinical Experiments
• FLEISS • Statistical Methods for Rates and Proportions, Third Edition
• ^† FLEMING and HARRINGTON • Counting Processes and Survival Analysis
• FUJIKOSHI, ULYANOV, and SHIMIZU • Multivariate Statistics: High-Dimensional and Large-Sample Approximations
• 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 • Applied Bayesian Modeling and Causal 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 • Multilevel Statistical Models, Fourth Edition
• GOLDSTEIN and LEWIS • Assessment: Problems, Development, and Statistical Issues
• GOLDSTEIN and WOOFF • Bayes Linear Statistics
• GRAHAM • Markov Chains: Analytic and Monte Carlo Computations
• GREENWOOD and NIKULIN • A Guide to Chi-Squared Testing
• GROSS, SHORTLE, THOMPSON, and HARRIS • Fundamentals of Queueing Theory, Fourth Edition
• GROSS, SHORTLE, THOMPSON, and HARRIS • Solutions Manual to Accompany Fundamentals of Queueing Theory, Fourth Edition
• HAHN and MEEKER • Statistical Intervals: A Guide for Practitioners
• ^* HAHN and SHAPIRO • Statistical Models in Engineering
• HALD • A History of Probability and Statistics and their Applications Before 1750
• ^† HAMPEL • Robust Statistics: The Approach Based on Influence Functions
• HARRON, GOLDSTEIN, and DIBBEN • Methodological Developments in Data Linkage
• HARTUNG, KNAPP, and SINHA • Statistical Meta-Analysis with Applications
• HEDAYAT and SINHA • Design and Inference in Finite Population Sampling
• HEDEKER and GIBBONS • Longitudinal Data Analysis
• HEIBERGER • Computation for the Analysis of Designed Experiments
• HELLER • MACSYMA for Statisticians
• HERITIER, CANTONI, COPT, and VICTORIA-FESER • Robust Methods in Biostatistics
• HINKELMANN (editor) • Design and Analysis of Experiments, Volume 3: Special Designs and Applications
• HINKELMANN and KEMPTHORNE • Design and Analysis of Experiments, Volume 1: Introduction to Experimental Design, Second Edition
• HINKELMANN and KEMPTHORNE • Design and Analysis of Experiments, Volume 2: Advanced Experimental Design
• HOAGLIN, MOSTELLER, and TUKEY • Fundamentals of Exploratory 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, Third Edition
• HOEL • Introduction to Mathematical Statistics, Fifth Edition
• HOGG and KLUGMAN • Loss Distributions
• HOLLANDER, WOLFE, and CHICKEN • Nonparametric Statistical Methods, Third Edition
• HOSMER and LEMESHOW • Applied Logistic Regression, Second Edition
• HOSMER, LEMESHOW, and MAY • Applied Survival Analysis: Regression Modeling of Time-to-Event Data, Second Edition
• HSING and EUBANK • Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
• HUBER • Data Analysis: What Can Be Learned From the Past 50 Years
• HUBER • Robust Statistics
• ^† HUBER and Ronchetti • Robust Statistics, Second Edition
• HUBERTY • Applied Discriminant Analysis, Second Edition
• HUBERTY and OLEJNIK • Applied MANOVA and Discriminant Analysis, Second Edition
• HUITEMA • The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies, Second Edition
• HUNT and KENNEDY • Financial Derivatives in Theory and Practice, Revised Edition
• HURD and MIAMEE • Periodically Correlated Random Sequences: Spectral Theory and Practice
• HUSKOVA, BERAN, and DUPAC • Collected Works of Jaroslav Hajek—with Commentary
• HUZURBAZAR • Flowgraph Models for Multistate Time-to-Event Data
• JACKMAN • Bayesian Analysis for the Social Sciences
• ^† 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, KEMP, and KOTZ • Univariate Discrete Distributions, Third Edition
• 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
• JUDGE, GRIFFITHS, HILL, LÜTKEPOHL, and LEE • The Theory and Practice of Econometrics, Second Edition
• 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
• KLEMELÄ • Smoothing of Multivariate Data: Density Estimation and Visualization
• KLUGMAN, PANJER, and WILLMOT • Loss Models: From Data to Decisions, Third Edition
• KLUGMAN, PANJER, and WILLMOT • Loss Models: Further Topics
• KLUGMAN, PANJER, and WILLMOT • Solutions Manual to Accompany Loss Models: From Data to Decisions, Third Edition
• KOSKI and NOBLE • Bayesian Networks: An Introduction
• 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
• KOWALSKI and TU • Modern Applied U-Statistics
• KRISHNAMOORTHY and MATHEW • Statistical Tolerance Regions: Theory, Applications, and Computation
• KROESE, TAIMRE, and BOTEV • Handbook of Monte Carlo Methods
• KROONENBERG • Applied Multiway Data Analysis
• KULINSKAYA, MORGENTHALER, and STAUDTE • Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence
• KULKARNI and HARMAN • An Elementary Introduction to Statistical Learning Theory
• KUROWICKA and COOKE • Uncertainty Analysis with High Dimensional Dependence Modelling
• KVAM and VIDAKOVIC • Nonparametric Statistics with Applications to Science and Engineering
• LACHIN • Biostatistical Methods: The Assessment of Relative Risks, Second Edition
• LAD • Operational Subjective Statistical Methods: A Mathematical, Philosophical, and Historical Introduction
• LAMPERTI • Probability: A Survey of the Mathematical Theory, Second Edition
• LAWLESS • Statistical Models and Methods for Lifetime Data, Second Edition
• LAWSON • Statistical Methods in Spatial Epidemiology, Second Edition
• LE • Applied Categorical Data Analysis, Second Edition
• LE • Applied Survival Analysis
• LEE • Structural Equation Modeling: A Bayesian Approach
• LEE and WANG • Statistical Methods for Survival Data Analysis, Fourth Edition
• LePAGE and BILLARD • Exploring the Limits of Bootstrap
• LESSLER and KALSBEEK • Nonsampling Errors in Surveys
• LEYLAND and GOLDSTEIN (editors) • Multilevel Modelling of Health Statistics
• LIAO • Statistical Group Comparison
• LIN • Introductory Stochastic Analysis for Finance and Insurance
• LINDLEY • Understanding Uncertainty, Revised Edition
• 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
• MARCHETTE • Random Graphs for Statistical Pattern Recognition
• 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, SEARLE, and NEUHAUS • Generalized, Linear, and Mixed Models, Second Edition
• McFADDEN • Management of Data in Clinical Trials, Second Edition
• ^* McLACHLAN • Discriminant Analysis and Statistical Pattern Recognition
• McLACHLAN, DO, and AMBROISE • Analyzing Microarray Gene Expression Data
• McLACHLAN and KRISHNAN • The EM Algorithm and Extensions, Second Edition
• 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
• MENGERSEN, ROBERT, and TITTERINGTON • Mixtures: Estimation and Applications
• MICKEY, DUNN, and CLARK • Applied Statistics: Analysis of Variance and Regression, Third Edition
• ^* MILLER • Survival Analysis, Second Edition
• MONTERO, FERNÁNDEZ-AVILÉS and MATEU • Spatial and Spatio-Temporal Geostatistical Modeling and Kriging
• MONTGOMERY, JENNINGS, and KULAHCI • Introduction to Time Series Analysis and Forecasting
• MONTGOMERY, PECK, and VINING • Introduction to Linear Regression Analysis, Fifth Edition
• MORGENTHALER and TUKEY • Configural Polysampling: A Route to Practical Robustness
• MUIRHEAD • Aspects of Multivariate Statistical Theory
• MULLER and STOYAN • Comparison Methods for Stochastic Models and Risks
• MURTHY, XIE, and JIANG • Weibull Models
• MYERS, MONTGOMERY, and ANDERSON-COOK • Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Fourth Edition
• MYERS, MONTGOMERY, VINING, and ROBINSON • Generalized Linear Models. With Applications in Engineering and the Sciences, Second Edition
• NATVIG • Multistate Systems Reliability Theory with Applications
• ^† NELSON • Accelerated Testing, Statistical Models, Test Plans, and Data Analyses
• ^† NELSON • Applied Life Data Analysis
• NEWMAN • Biostatistical Methods in Epidemiology
• NG, TAIN, and TANG • Dirichlet Theory: Theory, Methods and Applications
• 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: Extensions of Ordinary Regressions
• PANJER • Operational Risk: Modeling and Analytics
• PANKRATZ • Forecasting with Dynamic Regression Models
• PANKRATZ • Forecasting with Univariate Box-Jenkins Models: Concepts and Cases
• PARDOUX • Markov Processes and Applications: Algorithms, Networks, Genome and Finance
• PARMIGIANI and INOUE • Decision Theory: Principles and Approaches
• ^* PARZEN • Modern Probability Theory and Its Applications
• PEÑA, TIAO, and TSAY • A Course in Time Series Analysis
• PESARIN and SALMASO • Permutation Tests for Complex Data: Applications and Software
• PIANTADOSI • Clinical Trials: A Methodologic Perspective, Second Edition
• POURAHMADI • Foundations of Time Series Analysis and Prediction Theory
• POURAHMADI • High-Dimensional Covariance Estimation
• POWELL • Approximate Dynamic Programming: Solving the Curses of Dimensionality, Second Edition
• POWELL and RYZHOV • Optimal Learning
• PRESS • Subjective and Objective Bayesian Statistics, Second Edition
• PRESS and TANUR • The Subjectivity of Scientists and the Bayesian Approach
• 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
• RAO • Statistical Inference for Fractional Diffusion Processes
• RAUSAND and HØYLAND • System Reliability Theory: Models, Statistical Methods, and Applications, Second Edition
• RAYNER, THAS, and BEST • Smooth Tests of Goodnes of Fit: Using R, Second Edition
• RENCHER • Multivariate Statistical Inference with Applications
• RENCHER and CHRISTENSEN • Methods of Multivariate Analysis, Third Edition
• RENCHER and SCHAALJE • Linear Models in Statistics, Second Edition
• RIGDON and BASU • Statistical Methods for the Reliability of Repairable Systems
• ^* RIPLEY • Spatial Statistics
• ^* RIPLEY • Stochastic Simulation
• 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
• ^* SCHEFFE • The Analysis of Variance
• SCHERER • Batch Effects and Noise in Microarray Experiments: Sources and Solutions
• SCHIMEK • Smoothing and Regression: Approaches, Computation, and Application
• SCHOTT • Matrix Analysis for Statistics, Second Edition
• SCHOUTENS • Levy Processes in Finance: Pricing Financial Derivatives
• SCOTT • Multivariate Density Estimation: Theory, Practice, and Visualization
• ^* SEARLE • Linear Models
• ^† SEARLE • Linear Models for Unbalanced Data
• ^† SEARLE • Matrix Algebra Useful for Statistics
• ^† SEARLE, CASELLA, and McCULLOCH • Variance Components
• SEARLE and WILLETT • Matrix Algebra for Applied Economics
• SEBER • A Matrix Handbook for Statisticians
• ^† 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: It's Only a Game!
• SHERMAN • Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties
• 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, Second Edition
• STAPLETON • Models for Probability and Statistical Inference: Theory and Applications
• STAUDTE and SHEATHER • Robust Estimation and Testing
• STOYAN • Counterexamples in Probability, Second Edition
• STOYAN and STOYAN • Fractals, Random Shapes and Point Fields: Methods of Geometrical Statistics
• STREET and BURGESS • The Construction of Optimal Stated Choice Experiments: Theory and Methods
• STYAN • The Collected Papers of T. W. Anderson: 1943–1985
• SUTTON, ABRAMS, JONES, SHELDON, and SONG • Methods for Meta-Analysis in Medical Research
• TAKEZAWA • Introduction to Nonparametric Regression
• TAMHANE • Statistical Analysis of Designed Experiments: Theory and Applications
• TANAKA • Time Series Analysis: Nonstationary and Noninvertible Distribution Theory
• THOMPSON • Empirical Model Building: Data, Models, and Reality, Second Edition
• THOMPSON • Sampling, Third Edition
• THOMPSON • Simulation: A Modeler's Approach
• THOMPSON and SEBER • Adaptive Sampling
• THOMPSON, WILLIAMS, and FINDLAY • Models for Investors in Real World Markets
• TIERNEY • LISP-STAT: An Object-Oriented Environment for Statistical Computing and Dynamic Graphics
• TROFFAES and DE COOMAN • Lower Previsions
• TSAY • Analysis of Financial Time Series, Third Edition
• TSAY • An Introduction to Analysis of Financial Data with R
• TSAY • Multivariate Time Series Analysis: With R and Financial Applications
• UPTON and FINGLETON • Spatial Data Analysis by Example, Volume II: Categorical and Directional Data
• ^† VAN BELLE • Statistical Rules of Thumb, Second Edition
• 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
• VIERTL • Statistical Methods for Fuzzy Data
• VINOD and REAGLE • Preparing for the Worst: Incorporating Downside Risk in Stock Market Investments
• WALLER and GOTWAY • Applied Spatial Statistics for Public Health Data
• WEISBERG • Applied Linear Regression, Fourth Edition
• WEISBERG • Bias and Causation: Models and Judgment for Valid Comparisons
• WELSH • 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
• WOODWORTH • Biostatistics: A Bayesian Introduction
• WOOLSON and CLARKE • Statistical Methods for the Analysis of Biomedical Data, Second Edition
• WU and HAMADA • Experiments: Planning, Analysis, and Parameter Design Optimization, Second Edition
• WU and ZHANG • Nonparametric Regression Methods for Longitudinal Data Analysis
• YAKIR • Extremes in Random Fields
• YIN • Clinical Trial Design: Bayesian and Frequentist Adaptive Methods
• YOUNG, VALERO-MORA, and FRIENDLY • Visual Statistics: Seeing Data with Dynamic Interactive Graphics
• ZACKS • Examples and Problems in Mathematical Statistics
• ZACKS • Stage-Wise Adaptive Designs
• ^* 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, Second Edition