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Statistical Analysis with Missing Data

by Roderick J. A. Little & Donald B. Rubin

Praise for the First Edition of Statistical Analysis with Missing Data

"An important contribution to the applied statistics literature.... I give the book high marks for unifying and making accessible much of...

Markov Decision Processes: Discrete Stochastic Dynamic Programming

by Martin L. Puterman

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover...

Applied Regression Analysis

by Norman R. Draper & Harry Smith

An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among...

Structural Equations with Latent Variables

by Kenneth A. Bollen

Analysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first coordinated manual of methods for analyzing ordered categorical data. This book discusses specialized models that, unlike...

Solutions Manual to accompany An Introduction to Numerical Methods and Analysis

by James F. Epperson

A solutions manual to accompany An Introduction to Numerical Methods and Analysis, Second Edition

An Introduction to Numerical Methods and Analysis, Second Edition reflects the latest trends in the field, includes...

Real Analysis: A Constructive Approach

by Mark Bridger

A unique approach to analysis that lets you apply mathematics across a range of subjects

This innovative text sets forth a thoroughly rigorous modern account of the theoretical underpinnings of calculus: continuity,...

Differential Geometry and Kinematics of Continua

by John D Clayton

This book provides definitions and mathematical derivations of fundamental relationships of tensor analysis encountered in nonlinear continuum mechanics and continuum physics, with a focus on finite deformation...

Differential Operators on Spaces of Variable Integrability

by David E Edmunds, Jan Lang & Osvaldo Méndez

The theory of Lebesgue and Sobolev spaces with variable integrability is experiencing a steady expansion, and is the subject of much vigorous research by functional analysts, function-space analysts and specialists...

Understanding Educational Statistics Using Microsoft Excel and SPSS

by Martin Lee Abbott

Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences.

Mobilizing interesting real-world examples from the field...

Principles of Algebraic Geometry

by Phillip Griffiths & Joseph Harris

A comprehensive, self-contained treatment presenting general results of the theory. Establishes a geometric intuition and a working facility with specific geometric practices. Emphasizes applications through...

The Elements of Integration and Lebesgue Measure

by Robert G. Bartle

The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these...

Statistical Methods for Reliability Data

by William Q. Meeker & Luis A. Escobar

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Statistical Methods for Reliability Data was among those chosen.

Bringing statistical methods for reliability...

Biostatistical Methods: The Assessment of Relative Risks

by John M. Lachin

Praise for the First Edition

". . . an excellent textbook . . . an indispensable reference for biostatisticians and epidemiologists."

International Statistical Institute

A new edition of the definitive guide...

An Introduction to Bootstrap Methods with Applications to R

by Michael R. Chernick & Robert A. LaBudde

A comprehensive introduction to bootstrap methods in the R programming environment

Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard...

Introduction to Topology and Geometry

by Saul Stahl & Catherine Stenson

An easily accessible introduction to over three centuries of innovations in geometry

Praise for the First Edition

“. . . a welcome alternative to compartmentalized treatments bound to the old thinking. This...

Partial Differential Equations: Theory and Completely Solved Problems

by Thomas Hillen, I. Ed Leonard & Henry van Roessel

Uniquely provides fully solved problems for linear partial differential equations and boundary value problems

Partial Differential Equations: Theory and Completely Solved Problems utilizes real-world physical...

Combinatorics: An Introduction

by Theodore G. Faticoni

Bridges combinatorics and probability and uniquely includes detailed formulas and proofs to promote mathematical thinking

Combinatorics: An Introduction introduces readers to counting combinatorics, offers examples...

Primes of the Form X2+ny2: Fermat, Class Field Theory, and Complex Multiplication

by David A. Cox

An exciting approach to the history and mathematics of number theory

“. . . the author’s style is totally lucid and very easy to read . . .the result is indeed a wonderful story.” —Mathematical Reviews...

Log-Linear Modeling: Concepts, Interpretation, and Application

by Alexander von Eye & Eun-Young Mun

An easily accessible introduction to log-linear modeling for non-statisticians

Highlighting advances that have lent to the topic's distinct, coherent methodology over the past decade, Log-Linear Modeling: Concepts,...

Dispersion Decay and Scattering Theory

by Alexander Komech & Elena Kopylova

A simplified, yet rigorous treatment of scattering theory methods and their applications

Dispersion Decay and Scattering Theory provides thorough, easy-to-understand guidance on the application of scattering...