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Linear Models

A Mean Model Approach

1st Edition - October 9, 1996

Author: William R. Moser

Editors: Zbynek Sidak, David Aldous, Pranab K. Sen

Language: English
Hardback ISBN:
9 7 8 - 0 - 1 2 - 5 0 8 4 6 5 - 9
eBook ISBN:
9 7 8 - 0 - 0 8 - 0 5 1 0 2 9 - 3

Linear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook. Linear Models examines the subjec… Read more

Linear Models

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Linear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook. Linear Models examines the subject from a mean model perspective, defining simple and easy-to-learn rules for building mean models, regression models, mean vectors, covariance matrices and sums of squares matrices for balanced and unbalanced data sets. The author includes both applied and theoretical discussions of the multivariate normal distribution, quadratic forms, maximum likelihood estimation, less than full rank models, and general mixed models. The mean model is used to bring all of these topics together in a coherent presentation of linear model theory.