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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...

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...

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...

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...

**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...**

**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...

**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...

**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,...*

**Features recent trends and advances in the theory and techniques used to accurately measure and model growth**

*Growth Curve Modeling: Theory and Applications *features an accessible introduction to growth curve...

*Super Golfonomics* continues along the path of Professor Shmanske's pathbreaking *Golfonomics*. It uses economic and statistical analysis of the sport of golf for three main purposes, (1) For the enjoyment of golfers...

This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. The book starts from first principles, so that no...

**Theories and practices to assess critical information in a complex adaptive system**

Organized for readers to follow along easily, *The Fitness of Information: Quantitative Assessments of Critical Evidence *provides...

**AN INTERDISCIPLINARY PERSPECTIVE TO THE EVOLUTION OF THEORY AND METHODOLOGY WITHIN COGNITIVE INTERVIEW PROCESSES**

Providing a comprehensive approach to cognitive interviewing in the field of survey methodology,...

Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data...

**Praise for the ***First Edition*

** **“...a well-written book on data analysis and data mining that provides an excellent foundation...”

**—CHOICE **

“This is a must-read book for learning practical statistics and...

A self-contained treatment of finite Markov chains and processes, this text covers both theory and applications. Author Marius Iosifescu, vice president of the Romanian Academy and director of its Center for...

This book introduces the use of statistics to solve a variety of problems in exercise science and health and provides readers with a solid foundation for future research and data analysis.

*Statistics for Exercise...*

For thousands of years, it was the visionaries and writers who argued that we cannot be alone-that there is intellegent life in the universe. Now, with the discoveries of the Hubble Telescope, data emerging...

**An original account of** **willful ignorance and how this principle relates to modern probability and statistical methods **

Through a series of colorful stories about great thinkers and the problems they chose to...

Written at a readily accessible level,* Basic Data Analysis for Time Series with R* emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing...