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An Introduction to Stochastic Modeling, Student Solutions Manual (e-only)

“Brilliant, funny . . . the best math teacher you never had.”—*San Francisco Chronicle* Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist...

Want to calculate the probability that an event will happen? Be able to spot fake data? Prove beyond doubt whether one thing causes another? Or learn to be a better gambler? You can do that and much more with...

Say goodbye to dry presentations, grueling formulas, and abstract theories that would put Einstein to sleep -- now there's an easier way to master the disciplines you really need to know.

McGraw-Hill's *Demystified...*

Need to learn Minitab? Problem Solved!

Get started using Minitab right way with help from this hands-on guide. *Minitab Demystified* walks you through essential Minitab features and shows you how to apply them...

A comprehensive treatment of statistical applications for solving real-world environmental problems

A host of complex problems face today's earth science community, such as evaluating the supply of remaining...

Combining theoretical, methodological, and practical aspects, Latent Class Analysis of Survey Error successfully guides readers through the accurate interpretation of survey results for quality evaluation and...

**The presentation of a novel theory in orthogonal regression**

The literature about neural-based algorithms is often dedicated to principal component analysis (PCA) and considers minor component analysis (MCA) a...

A comprehensive, one-stop guide to identifying, reducing, and managing nonresponse in household surveys

Nonresponse and its impact on the sample selection mechanism of a survey is a common problem that often...

A guide to modeling analyses for financial and sports gambling markets, with a focus on major current events

Addressing the highly competitive and risky environments of current-day financial and sports gambling...

**A new edition of the trusted guide on commonly used statistical distributions**

Fully updated to reflect the latest developments on the topic, *Statistical Distributions*, Fourth Edition continues to serve as an...

**A practical guide to selecting and applying the most appropriate model for analysis of cross section data using EViews.**

"*This book is a reflection of the vast experience and knowledge of the author. It is a useful...*

MULTIPLY your chances of learning STATISTICS

Trying to understand statistics but feeling a bit uncertain? Here's your solution. *Statistics Demystifed*, Second Edition helps you master this fundamental topic with...

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...

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...

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...

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...

**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...

**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...**

**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...