CRC Standard Probability and Statistics Tables and Formulae / Edition 1

by Daniel Zwillinger, Stephen Kokoska

Overview

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.

Product Details

ISBN-13:	9780367399078
Publisher:	Taylor & Francis
Publication date:	09/23/2019
Pages:	568
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Zwillinger, Daniel; Kokoska, Stephen

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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Editorial Reviews

A reference for statisticians, engineers, and business people, supplying information on basic principles and the most commonly used values. Each section contains tabular and expository reference material. A clear textual description accompanies each entry, and most include an example. Examples start with a word problem, interpret the words as a statistical problem, find the solution, and interpret the solution in words. Also included are short topics containing many classical results and puzzles. Topics are directly applicable to modern business and engineering, as well as to statistics, including regression analysis, ANOVA, decision theory, signal processing, and control theory. Zwillinger is affiliated with Rensselaer Polytechnic Institute. Kokoska is affiliated with Bloomburg University. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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