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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...

Statistical Method from the Viewpoint of Quality Control

by Walter A. Shewhart

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...

Principles of Statistics

by M. G. Bulmer

Concise description of classical statistics, from basic dice probabilities to modern regression analysis. Equal stress on theory and applications. Moderate difficulty; only basic calculus required. Includes...

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...

Schaum's Outline of Probability and Statistics, 3/E

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....

How to Lie with Statistics

by Darrell Huff & Irving Geis

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...

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...

Even You Can Learn Statistics and Analytics: An Easy to Understand Guide to Statistics and Analytics

by David M. Levine & David F. Stephan

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 everyone! Now fully...

Handbook of Statistics: Computational Statistics with R

by Marepalli B. Rao & C.R. Rao

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...

Probability and Stochastic Processes

by Ionut Florescu

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...

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...

An Introduction to Probability and Statistical Inference

by George G. Roussas

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...

Machine Learning: Hands-On for Developers and Technical Professionals

by Jason Bell

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...

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)...

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...