Handbook of Parametric and Nonparametric Statistical Procedure

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.

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