Handbook of Parametric and Nonparametric Statistical Procedures

Handbook of Parametric and Nonparametric Statistical Procedures

Hardback

By (author) David J. Sheskin

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  • Publisher: Chapman & Hall/CRC
  • Format: Hardback | 1926 pages
  • Dimensions: 191mm x 254mm x 66mm | 2,381g
  • Publication date: 4 May 2011
  • Publication City/Country: Boca Raton, FL
  • ISBN 10: 1439858012
  • ISBN 13: 9781439858011
  • Edition: 5, Revised
  • Edition statement: 5th Revised edition
  • Illustrations note: 128 black & white illustrations, 394 black & white tables
  • Sales rank: 867,350

Product description

Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures. New in the Fifth Edition: Substantial updates and new material throughout New chapters on path analysis, meta-analysis, and structural equation modeling Index numbers and time series analysis applications in business and economics Statistical quality control applications in industry Random- and fixed-effects models for the analysis of variance Broad in scope, the Handbook is intended for individuals involved in a wide spectrum of academic disciplines encompassing the fields of mathematics, the social, biological, and environmental sciences, business, and education. A reference for statistically sophisticated individuals, the Handbook is also accessible to those lacking the theoretical or mathematical background required for understanding subject matter typically documented in statistics reference books.

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Author information

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

Review quote

all procedures are presented in detail. ... it is a reference book par excellence. It is very well edited and produced. I cannot think of a single-volume text which is close to the range and depth of this handbook. Professor Sheskin writes clearly and accessibly ... There is substantial material that any applied statistician, regardless of their interests or training, should know about and this handbook provides that and more in one remarkable volume. I am sure that this new edition of Sheskin's handbook will be an extremely useful resource for researchers ... and also an invaluable reference for teachers and students who are engaged in applied statistics courses. ... I very much recommend it. -Mario Cortina-Borja, Journal of the Royal Statistical Society, Series A, 2012 Praise for the Fourth Edition: I recommend this book for those who already know which statistical test they want to apply and who want to learn how to do it, step by step, from the data to the conclusion. I also recommend it for teachers who will find a lot of good examples they can use within their courses. -Philippe Castagliola, Journal of Applied Statistics, November 2007 This book occupies a unique place in the literature. I am sure I will come back to it to check a statistical test. -Kostas Triantafyllopoulos, Significance, December 2007 ... provides both depth and breadth of coverage ... I can safely recommend this book as a handy resource manual for researchers and applied practitioners as well as a textbook for students majoring in disciplines other than statistics. -Technometrics, November 2007

Table of contents

Introduction Outline of Inferential Statistical Tests and Measures of Correlation/Association Guidelines and Decision Tables for Selecting the Appropriate Statistical Procedure Inferential Statistical Tests Employed with a Single Sample The Single-Sample z Test The Single-Sample t Test The Single-Sample Test for Evaluating Population Skewness The Single-Sample Test for Evaluating Population Kurtosis The Wilcoxon Signed-Ranks Test The Kolmogorov-Smirnov Goodness-of-Fit Test for a Single Sample The Chi-Square Goodness-of-Fit Test The Binomial Sign Test for a Single Sample The Single-Sample Runs Test (and Other Tests of Randomness) Inferential Statistical Tests Employed with Two Independent Samples (and Related Measures of Association/Correlation) The t Test for Two Independent Samples The Mann-Whitney U Test The Kolmogorov-Smirnov Test for Two Independent Samples The Siegel-Tukey Test for Equal Variability The Moses Test for Equal Variability The Chi-Square Test for r x c Tables Inferential Statistical Tests Employed with Two Dependent Samples (and Related Measures of Association/Correlation) The t Test for Two Dependent Samples The Wilcoxon Matched-Pairs Signed-Ranks Test The Binomial Sign Test for Two Dependent Samples The McNemar Test Inferential Statistical Tests Employed with Two or More Independent Samples (and Related Measures of Association/Correlation) The Single-Factor Between-Subjects Analysis of Variance The Kruskal-Wallis One-Way Analysis of Variance by Ranks The van der Waerden Normal Scores Test Inferential Statistical Tests Employed with Two or More Dependent Samples (and Related Measures of Association/Correlation) The Single-Factor Within-Subjects Analysis of Variance The Friedman Two-Way Analysis of Variance by Ranks The Cochran Q Test Inferential Statistical Test Employed with a Factorial Design (and Related Measures of Association/Correlation) The Between-Subjects Factorial Analysis of Variance Measures of Association/Correlation The Pearson Product-Moment Correlation Coefficient Spearman's Rank-Order Correlation Coefficient Kendall's Tau Kendall's Coefficient of Concordance Goodman and Kruskal's Gamma Multivariate Statistical Analysis Matrix Algebra and Multivariate Analysis Multiple Regression Hotelling's T2 Multivariate Analysis of Variance Multivariate Analysis of Covariance Discriminant Function Analysis Canonical Correlational Logistic Regression Principal Components Analysis and Factor Analysis Path Analysis Structural Equation Modeling Meta-Analysis Appendix: Tables Table of the Normal Distribution Table of Student's t Distribution Power Curves for Student's t Distribution Table of the Chi-Square Distribution Table of Critical T Values for Wilcoxon's Signed-Ranks and Matched-Pairs Signed-Ranks Tests Table of the Binomial Distribution, Individual Probabilities Table of the Binomial Distribution, Cumulative Probabilities Table of Critical Values for the Single-Sample Runs Test Table of the Fmax Distribution Table of the F Distribution Table of Critical Values for Mann-Whitney U Statistic Table of Sandler's A Statistic Table of the Studentized Range Statistic Table of Dunnett's Modified t Statistic for a Control Group Comparison Graphs of the Power Function for the Analysis of Variance Table of Critical Values for Pearson r Table of Fisher's zr Transformation Table of Critical Values for Spearman's Rho Table of Critical Values for Kendall's Tau Table of Critical Values for Kendall's Coefficient of Concordance Table of Critical Values for the Kolmogorov-Smirnov Goodness-of-Fit Test for a Single Sample Table of Critical Values for the Lilliefors Test for Normality Table of Critical Values for the Kolmogorov-Smirnov Test for Two Independent Samples Table of Critical Values for the Jonckheere-Terpstra Test Statistic Table of Critical Values for the Page Test Statistic Table of Extreme Studentized Deviate Outlier Statistic Table of Durbin-Watson Test Statistic Constants Used for Estimation and Construction of Control Charts Index