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

Important text offers lucid explanation of how to regulate variables and maintain control over statistics in order to achieve quality control over manufactured products, crops and data. First inexpensive paperback...

“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...

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....

Over Half a Million Copies Sold--an Honest-to-Goodness Bestseller Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview...

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...

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

R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available...

**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...*

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...

Probability models, statistical methods, and the information to be gained from them is vital for work in business, engineering, sciences (including social and behavioral), and other fields. Data must be properly...

**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...

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...*