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“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...

This introduction to the world of statistics covers exploratory data analysis, methods for collecting data, formal statistical inference, and techniques of regression and analysis of variance. 1983 edition.

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...

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 Statistics Equations & Answers Study Guide helps by allowing you to see various different answers and solutions to common and everyday questions that may arrive in a math focused setting. There are a couple...

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...

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...

**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...

This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. The book starts from first principles, so that no...

*Introduction to Probability Models, Tenth Edition*, provides an introduction to elementary probability theory and stochastic processes. There are two approaches to the study of probability theory. One is heuristic...

*Statistical Methods*, 3e provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines....

Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data...

*Introductory Statistics, Third Edition, presents* statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also to understand...

A self-contained treatment of finite Markov chains and processes, this text covers both theory and applications. Author Marius Iosifescu, vice president of the Romanian Academy and director of its Center for...

The long-awaited revision of *Fundamentals of Applied Probability and Random Processes* expands on the central components that made the first edition a classic. The title is based on the premise that engineers...

First integrated treatment of main ideas behind René Thom's theory of catastrophes stresses detailed applications in the physical sciences. Mathematics of theory explained with a minimum of technicalities....

For thousands of years, it was the visionaries and writers who argued that we cannot be alone-that there is intellegent life in the universe. Now, with the discoveries of the Hubble Telescope, data emerging...

Classic text focuses on everyday applications as well as those of scientific research. Minimal mathematical background necessary. Includes lively examples from business, government, and other fields. "Fascinating."...

* An Introduction to Measure-Theoretic Probability*, Second Edition, employs a classical approach to teaching students of statistics, mathematics, engineering, econometrics, finance, and other disciplines that...