CRC Standard Probability and Statistics Tables and Formulae: 1st Edition (Paperback) book cover

CRC Standard Probability and Statistics Tables and Formulae

1st Edition

By Daniel Zwillinger, Stephen Kokoska

CRC Press

568 pages

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Paperback: 9780367399078
pub: 2019-09-23
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Hardback: 9781584880592
pub: 1999-12-27
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Whether you are a statistician, engineer, or businessperson, you need statistics. You want to be able to easily reference tables, find formulas, and know how to use them so you can extract information from data without getting bogged down by advanced statistical methods. Your goal is to determine the appropriate statistical procedures and interpret the results. Standard Probability and Statistics: Tables and Formulae provides the tools you need to do just that.

Logically organized and reaching far beyond a mere catalog, a textual description accompanies each entry- most include an example. The topics addressed are directly applicable to modern business and engineering as well as to statistics, including regression analysis, ANOVA, decision theory, signal processing, and control theory. The result is an accessible, example-oriented handbook that supplies the basic principles, the most commonly used values, and the information to make them work for you.

It is easy to fill a statistics reference with hundreds of pages of tables - sometimes for just one test. This handbook is much more. With topics ranging from classical statistics to modern applications, Standard Probability and Statistics fills the need for an up-to-date, authoritative statistics reference.

Table of Contents

Introduction. Probability Theory. Probability Distributions. Common Statistical Problems. Statistical Theory. Topics in Probability and Statistics. Computational Statistics. Miscellaneous Mathematical Tables. Glossary of Symbols and Terms. Index.

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About the Authors

Zwillinger, Daniel; Kokoska, Stephen

Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General
MATHEMATICS / Probability & Statistics / Bayesian Analysis