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

by Mark Pinsky

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


Naked Statistics: Stripping the Dread from the Data

by Charles Wheelan

“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...


Statistics Hacks: Tips & Tools for Measuring the World and Beating the Odds

by Bruce Frey

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...


Business Statistics Demystified

by Steven Kemp & Sid Kemp

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...


Minitab Demystified

by Andrew Sleeper

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...


Statistics for Earth and Environmental Scientists

by John Schuenemeyer & Larry Drew

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...


Latent Class Analysis of Survey Error

by Paul P. Biemer

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...


Neural-Based Orthogonal Data Fitting: The EXIN Neural Networks

by Giansalvo Cirrincione & Maurizio Cirrincione

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...


Handbook of Nonresponse in Household Surveys

by Jelke Bethlehem, Fannie Cobben & Barry Schouten

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...


Forecasting in Financial and Sports Gambling Markets: Adaptive Drift Modeling

by William S. Mallios

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...


Statistical Distributions

by Catherine Forbes, Merran Evans & Nicholas Hastings

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...


Cross Section and Experimental Data Analysis Using Eviews

by I. Gusti Ngurah Agung

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...


Statistics DeMYSTiFieD, 2nd Edition

by Stan Gibilisco

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...


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...


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...


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...