JOHNSON and KOTZ Á Distributions in Statistics

JOHNSON and KOTZ (editors) Á Leading Personalities in Statistical Sciences: From the

Seventeenth Century to the Present

JOHNSON, KOTZ, and BALAKRISHNAN Á Continuous Univariate Distributions,

Volume 1, Second Edition

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JOHNSON, KOTZ, and BALAKRISHNAN Á Continuous Univariate Distributions,

Volume 2, Second Edition

JOHNSON, KOTZ, and BALAKRISHNAN Á Discrete Multivariate Distributions

JOHNSON, KOTZ, and KEMP Á Univariate Discrete Distributions, Second Edition

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JURECKOVA and SEN Á Robust Statistical Procedures: Asymptotics and Interrelations

JUREK and MASON Á Operator-Limit Distributions in Probability Theory

KADANE Á Bayesian Methods and Ethics in a Clinical Trial Design

KADANE AND SCHUM Á A Probabilistic Analysis of the Sacco and Vanzetti Evidence

KALBFLEISCH and PRENTICE Á The Statistical Analysis of Failure Time Data, Second

Edition

KASS and VOS Á Geometrical Foundations of Asymptotic Inference

KAUFMAN and ROUSSEEUW Á Finding Groups in Data: An Introduction to Cluster

Analysis

KEDEM and FOKIANOS Á Regression Models for Time Series Analysis

KENDALL, BARDEN, CARNE, and LE Á Shape and Shape Theory

KHURI Á Advanced Calculus with Applications in Statistics, Second Edition

KHURI, MATHEW, and SINHA Á Statistical Tests for Mixed Linear Models

KLEIBER and KOTZ Á Statistical Size Distributions in Economics and Actuarial Sciences

KLUGMAN, PANJER, and WILLMOT Á Loss Models: From Data to Decisions

KLUGMAN, PANJER, and WILLMOT Á Solutions Manual to Accompany Loss Models:

From Data to Decisions

KOTZ, BALAKRISHNAN, and JOHNSON Á Continuous Multivariate Distributions,

Volume 1, Second Edition

KOTZ and JOHNSON (editors) Á Encyclopedia of Statistical Sciences: Volumes 1 to 9 with

Index

KOTZ and JOHNSON (editors) Á Encyclopedia of Statistical Sciences: Supplement Volume

KOTZ, READ, and BANKS (editors) Á Encyclopedia of Statistical Sciences: Update

Volume 1

KOTZ, READ, and BANKS (editors) Á Encyclopedia of Statistical Sciences: Update

Volume 2

KOVALENKO, KUZNETZOV, and PEGG Á Mathematical Theory of Reliability of Time-

Dependent Systems with Practical Applications

LACHIN Á Biostatistical Methods: The Assessment of Relative Risks

LAD Á Operational Subjective Statistical Methods: A Mathematical, Philosophical, and

Historical Introduction

LAMPERTI Á Probability: A Survey of the Mathematical Theory, Second Edition

LANGE, RYAN, BILLARD, BRILLINGER, CONQUEST, and GREENHOUSE Á Case

Studies in Biometry

LARSON Á Introduction to Probability Theory and Statistical Inference, Third Edition

LAWLESS Á Statistical Models and Methods for Lifetime Data, Second Edition

LAWSON Á Statistical Methods in Spatial Epidemiology

LE Á Applied Categorical Data Analysis

LE Á Applied Survival Analysis

LEE and WANG Á Statistical Methods for Survival Data Analysis, Third Edition

LEPAGE and BILLARD Á Exploring the Limits of Bootstrap

LEYLAND and GOLDSTEIN (editors) Á Multilevel Modelling of Health Statistics

LIAO Á Statistical Group Comparison

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LINDVALL Á Lectures on the Coupling Method

LINHART and ZUCCHINI Á Model Selection

LITTLE and RUBIN Á Statistical Analysis with Missing Data, Second Edition

LLOYD Á The Statistical Analysis of Categorical Data

MAGNUS and NEUDECKER Á Matrix Differential Calculus with Applications in Statistics

and Econometrics, Revised Edition

MALLER and ZHOU Á Survival Analysis with Long Term Survivors

MALLOWS Á Design, Data, and Analysis by Some Friends of Cuthbert Daniel

MANN, SCHAFER, and SINGPURWALLA Á Methods for Statistical Analysis of Reliability

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MANTON, WOODBURY, and TOLLEY Á Statistical Applications Using Fuzzy Sets

MARDIA and JUPP Á Directional Statistics

MASON, GUNST, and HESS Á Statistical Design and Analysis of Experiments with

Applications to Engineering and Science, Second Edition

McCULLOCH and SEARLE Á Generalized, Linear, and Mixed Models

McFADDEN Á Management of Data in Clinical Trials

McLACHLAN Á Discriminant Analysis and Statistical Pattern Recognition

McLACHLAN and KRISHNAN Á The EM Algorithm and Extensions

McLACHLAN and PEEL Á Finite Mixture Models

McNEIL Á Epidemiological Research Methods

MEEKER and ESCOBAR Á Statistical Methods for Reliability Data

MEERSCHAERT and SCHEFFLER Á Limit Distributions for Sums of Independent Random

Vectors: Heavy Tails in Theory and Practice

*MILLER Á Survival Analysis, Second Edition

MONTGOMERY, PECK, and VINING Á Introduction to Linear Regression Analysis, Third

Edition

MORGENTHALER and TUKEY Á Con¬gural Polysampling: A Route to Practical

Robustness

MUIRHEAD Á Aspects of Multivariate Statistical Theory

MURRAY Á X-STAT 2.0 Statistical Experimentation, Design Data Analysis, and Nonlinear

Optimization

MYERS and MONTGOMERY Á Response Surface Methodology: Process and Product

Optimization Using Designed Experiments, Second Edition

MYERS, MONTGOMERY, and VINING Á Generalized Linear Models. With Applications in

Engineering and the Sciences

NELSON Á Accelerated Testing, Statistical Models, Test Plans, and Data Analyses

NELSON Á Applied Life Data Analysis

NEWMAN Á Biostatistical Methods in Epidemiology

OCHI Á Applied Probability and Stochastic Processes in Engineering and Physical Sciences

OKABE, BOOTS, SUGIHARA, and CHIU Á Spatial Tesselations: Concepts and

Applications of Voronoi Diagrams, Second Edition

OLIVER and SMITH Á In¬‚uence Diagrams, Belief Nets and Decision Analysis

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PANKRATZ Á Forecasting with Univariate Box-Jenkins Models: Concepts and Cases

*PARZEN Á Modern Probability Theory and Its Applications

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PENA, TIAO, and TSAY ÁA Course in Time Series Analysis

PIANTADOSI Á Clinical Trials: A Methodologic Perspective

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PORT Á Theoretical Probability for Applications

POURAHMADI Á Foundations of Time Series Analysis and Prediction Theory

PRESS Á Bayesian Statistics: Principles, Models, and Applications

PRESS Á Subjective and Objective Bayesian Statistics, Second Edition

PRESS and TANUR Á The Subjectivity of Scientists and the Bayesian Approach

PUKELSHEIM Á Optimal Experimental Design

PURI, VILAPLANA, and WERTZ Á New Perspectives in Theoretical and Applied Statistics

PUTERMAN Á Markov Decision Processes: Discrete Stochastic Dynamic Programming

*RAO Á Linear Statistical Inference and Its Applications, Second Edition

RENCHER Á Linear Models in Statistics

RENCHER Á Methods of Multivariate Analysis, Second Edition

RENCHER Á Multivariate Statistical Inference with Applications

RIPLEY Á Spatial Statistics

RIPLEY Á Stochastic Simulation

ROBINSON Á Practical Strategies for Experimenting

ROHATGI and SALEH Á An Introduction to Probability and Statistics, Second Edition

ROLSKI, SCHMIDLI, SCHMIDT, and TEUGELS Á Stochastic Processes for Insurance

and Finance

ROSENBERGER and LACHIN Á Randomization in Clinical Trials: Theory and Practice

ROSS Á Introduction to Probability and Statistics for Engineers and Scientists

ROUSSEEUW and LEROY Á Robust Regression and Outlier Detection

RUBIN Á Multiple Imputation for Nonresponse in Surveys

RUBINSTEIN Á Simulation and the Monte Carlo Method

RUBINSTEIN and MELAMED Á Modern Simulation and Modeling

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RYAN Á Statistical Methods for Quality Improvement, Second Edition

SALTELLI, CHAN, and SCOTT (editors) Á Sensitivity Analysis

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SCHOTT Á Matrix Analysis for Statistics

SCHUSS Á Theory and Applications of Stochastic Differential Equations

SCOTT Á Multivariate Density Estimation: Theory, Practice, and Visualization

*SEARLE Á Linear Models

SEARLE Á Linear Models for Unbalanced Data

SEARLE Á Matrix Algebra Useful for Statistics

SEARLE, CASELLA, and McCULLOCH Á Variance Components

SEARLE and WILLETT Á Matrix Algebra for Applied Economics

SEBER and LEE Á Linear Regression Analysis, Second Edition

SEBER Á Multivariate Observations

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