Handbook of parametric and nonparametric statistical procedures
 Author/Creator
 Sheskin, David.
 Language
 English.
 Edition
 5th ed.
 Imprint
 Boca Raton : CRC Press, c2011.
 Physical description
 xxxix, 1886 p. : ill. ; 26 cm.
Access
Available online

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QA276.25 .S54 2011

Unknown
QA276.25 .S54 2011
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Contents/Summary
 Bibliography
 Includes bibliographical references and index.
 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 SingleSample z Test The SingleSample t Test The SingleSample Test for Evaluating Population Skewness The SingleSample Test for Evaluating Population Kurtosis The Wilcoxon SignedRanks Test The KolmogorovSmirnov GoodnessofFit Test for a Single Sample The ChiSquare GoodnessofFit Test The Binomial Sign Test for a Single Sample The SingleSample 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 MannWhitney U Test The KolmogorovSmirnov Test for Two Independent Samples The SiegelTukey Test for Equal Variability The Moses Test for Equal Variability The ChiSquare 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 MatchedPairs SignedRanks 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 SingleFactor BetweenSubjects Analysis of Variance The KruskalWallis OneWay 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 SingleFactor WithinSubjects Analysis of Variance The Friedman TwoWay Analysis of Variance by Ranks The Cochran Q Test Inferential Statistical Test Employed with a Factorial Design (and Related Measures of Association/Correlation) The BetweenSubjects Factorial Analysis of Variance Measures of Association/Correlation The Pearson ProductMoment Correlation Coefficient Spearman's RankOrder 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 MetaAnalysis Appendix: Tables Table of the Normal Distribution Table of Student's t Distribution Power Curves for Student's t Distribution Table of the ChiSquare Distribution Table of Critical T Values for Wilcoxon's SignedRanks and MatchedPairs SignedRanks Tests Table of the Binomial Distribution, Individual Probabilities Table of the Binomial Distribution, Cumulative Probabilities Table of Critical Values for the SingleSample Runs Test Table of the Fmax Distribution Table of the F Distribution Table of Critical Values for MannWhitney 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 KolmogorovSmirnov GoodnessofFit Test for a Single Sample Table of Critical Values for the Lilliefors Test for Normality Table of Critical Values for the KolmogorovSmirnov Test for Two Independent Samples Table of Critical Values for the JonckheereTerpstra Test Statistic Table of Critical Values for the Page Test Statistic Table of Extreme Studentized Deviate Outlier Statistic Table of DurbinWatson Test Statistic Constants Used for Estimation and Construction of Control Charts Index.
 (source: Nielsen Book Data)
 Publisher's Summary
 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 allinclusive reference on univariate, bivariate, and multivariate statistical procedures. New in the Fifth Edition: * Substantial updates and new material throughout * New chapters on path analysis, metaanalysis, and structural equation modeling * Index numbers and time series analysis applications in business and economics * Statistical quality control applications in industry * Random and fixedeffects 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.
(source: Nielsen Book Data)
Subjects
Bibliographic information
 Publication date
 2011
 Responsibility
 David J. Sheskin.
 Title Variation
 Parametric and nonparametric statistical procedures
 ISBN
 9781439858011
 1439858012