Ebook: Handbook Of Parametric And Nonparametric Statistical Procedures
Author: David J. Sheskin
- Genre: Mathematics // Mathematicsematical Statistics
- Tags: Statistics
- Year: 2011
- Publisher: CRC Press/Taylor & Francis Group
- Edition: 5
- Language: English
- pdf
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.
• 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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