Handbook of Parametric and Nonparametric Statistical Procedures: Fourth Edition

David J. Sheskin

Hardback
$119.96

January 19, 2007 by Chapman and Hall/CRC
Handbook - 1772 Pages - 115 B/W Illustrations
ISBN 9781584888147 - CAT# C8148

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Features

  • Presents 160 statistical procedures and virtually all theoretical and practical issues relevant to statistics
  • Provides decision tables for selecting the appropriate statistical test
  • Features a standardized organizational format for each test
  • Discusses the use of SPSS in conducting and interpreting multivariate and log-linear analysis
  • Shows when two or more procedures produce equivalent results
  • Uses small sample sizes and integer numbers in all examples, allowing for easy understanding of the computations
  • Summary

    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.