Handbook of Parametric and Nonparametric Statistical Procedures

David J. Sheskin

ISBN 10: 1584888148 / ISBN 13: 9781584888147

Published by CRC PR INC, 2007

About this Item

Zustand: Gut | Seiten: 1736 | Sprache: Englisch | Produktart: Bücher.

Seller Inventory # 3320725/3

Bibliographic Details

• Title: Handbook of Parametric and Nonparametric Statistical Procedures
• Publisher: CRC PR INC
• Publication Date: 2007
• Language: English
• ISBN 10: 1584888148
• ISBN 13: 9781584888147
• Binding: Hardcover
• Edition: 4th Edition
• Condition: Gut

About this title

Synopsis

With more than 500 pages of new material, the Handbook of Parametric and Nonparametric Statistical Procedures, Fourth Edition carries on the esteemed tradition of the previous editions, providing up-to-date, in-depth coverage of now more than 160 statistical procedures. The book also discusses both theoretical and practical statistical topics, such as experimental design, experimental control, and statistical analysis.

New to the Fourth Edition

Multivariate statistics including matrix algebra, multiple regression, Hotellings T2, MANOVA, MANCOVA, discriminant function analysis, canonical correlation, logistic regression, and principal components/factor analysis

Clinical trials, survival analysis, tests of equivalence, analysis of censored data, and analytical procedures for crossover design

Regression diagnostics that include the Durbin-Watson test

Log-linear analysis of contingency tables, Mantel-Haenszel analysis of multiple 2 × 2 contingency tables, trend analysis, and analysis of variance for a Latin square design

Levene and Brown-Forsythe tests for evaluating homogeneity of variance, the Jarque-Bera test of normality, and the extreme studentized deviate test for identifying outliers

Confidence intervals for computing the population median and the difference between two population medians

The relationship between exponential and Poisson distribution

Eliminating the need to search across numerous books, this handbook provides you with everything you need to know about parametric and nonparametric statistical procedures. It helps you choose the best test for your data, interpret the results, and better evaluate the research of others.

About the Author

David Sheskin is Professor of Psychology at Western Connecticut State University with a specialization in statistics and research design.