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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...


Schaum's Outline of Probability and Statistics, 3ed

by Murray R Spiegel, John J. Schiller & R. Alu Srinivasan

Confusing Textbooks? Missed Lectures? Not Enough Time?

Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams....


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...


Probabilistic Normed Spaces

by Bernardo Lafuerza Guillen & Panackal Harikrishnan

This book provides a comprehensive foundation in Probabilistic Normed (PN) Spaces for anyone conducting research in this field of mathematics and statistics. It is the first to fully discuss the developments...


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...


Statistical Inference for Models with Multivariate t-Distributed Errors

by A. K. Md. Ehsanes Saleh, Mohammad Arashi & S M M Tabatabaey

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...


Benford's Law: Theory, the General Law of Relative Quantities, and Forensic Fraud Detection Applications

by Alex Ely Kossovsky

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...


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...


Gibbs Measures on Cayley Trees

by Utkir A Rozikov

The purpose of this book is to present systematically all known mathematical results on Gibbs measures on Cayley trees (Bethe lattices).

The Gibbs measure is a probability measure, which has been an important...


Super Golfonomics

by A01

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...


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...