Springer Science+Business Media, 2000. — 742 p. — ISBN: 0817640126, 978-0817640125.
The analysis of variance models have become one of the most widely used tools of modern statistics for analyzing multi-factor data. This book provides a detailed and thorough introduction to fixed, random and mixed effects analysis of variance, covering all the important models. The book will be a valuable reference for professionals and students in the biological, physical, social, engineering and management sciences.
One-Way Classification.
Two-Way Crossed Classification Without Interaction.
Two-Way Crossed Classification With Interaction.
Three-Way and Higher-Order Crossed Classifications.
Two-Way Nested (Hierarchical) Classification.
Three-Way and Higher-Order Nested Classifications.
Partially Nested Classifications.
Finite Population and Other Models.
Some Simple Experimental Designs.
Analysis of Variance Using Statistical Compnting Packages.
Appendices.
Statistical Tables and Charts.