Linear Models for Unbalanced Data

by Shayle R. Searle

This presentation of the fundamentals of linear statistical models is devoted to unbalanced data (data having unequal numbers of observations in the subclasses) and its emphasis on the up-to-date cell means model approach to linear models for unbalanced data. Unbalanced data are harder to analyze and understand than balanced data, but are becoming more prevalent through computer storage of data. Topics covered include cell means models, 1-way classification,...

• Format: Hardcover
• Language: English
• ISBN: 0471840963
• ISBN13: 9780471840961
• Release Date: July 1987
• Publisher: Wiley
• Length: 560 Pages
• Weight: 0.50 lbs.
• Dimensions: 1.3" x 6.3" x 9.3"