Linear Models for Unbalanced Data

Type

Book

Authors

Searle ( Searle, Shayle R. )

ISBN 10

0471840963

ISBN 13

9780471840961

Tags

Probability & Statistics, Statistics

Description

This presentation of the fundamentals of linear statistical models is unique in its total devotion 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, nested classifications, 2-way classification with some-cells-empty data, models with covariables, matrix algebra and quadratic forms, linear model theory, comments on computing packages, and much more. Includes references and statistical tables. - from Amzon

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