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**A valuable overview of the most important ideas and results in statistical analysis **

Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide...

**Praise for the First Edition**

**"This is a well-written and impressively presented introduction to probability and statistics. The text throughout is highly readable, and the author makes liberal use of graphs and...**

**Concise, thoroughly class-tested primer that features basic statistical concepts in the concepts in the context of analytics, resampling, and the bootstrap**

A uniquely developed presentation of key statistical...

Praise for the *First Edition*

“If there is anything you want to know, or remind yourself, about probabilities, then look no further than this comprehensive, yet wittily written and enjoyable, compendium of how...

**A comprehensive and accessible presentation of probability and stochastic processes with emphasis on key theoretical concepts and real-world applications**

With a sophisticated approach, *Probability and Stochastic...*

Thought you couldn’t learn statistics? You can – and you will! ** Even You Can Learn Statistics and Analytics, Third Edition** is the practical, up-to-date introduction to statistics – for

Providing core training in R for a successful career in statistics practice

**Dig deep into the data with a hands-on guide to machine learning**

*Machine Learning: Hands-On for Developers and Technical Professionals* provides hands-on instruction and fully-coded working examples for the most...

This book summarizes the results of various models under normal theory with a brief review of the literature. *Statistical Inference for Models with Multivariate t-Distributed Errors*:

- Includes a wide array of...

- Content, examples, an enhanced number of exercises, and graphical illustrations where appropriate to motivate the reader and demonstrate the applicability of probability and statistical inference in a great...

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...**

Contrary to common intuition that all digits should occur randomly with equal chances in real data, empirical examinations consistently show that not all digits are created equal, but rather that low digits...

**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...