Linear models a mean model approach

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 vect...

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Bibliographic Details
Main Author: Moser, Barry Kurt
Format: eBook
Language:English
Published: San Diego Academic Press 1996, 1996
Series:Probability and mathematical statistics
Subjects:
Online Access:
Collection: Elsevier eBook collection Mathematics - Collection details see MPG.ReNa
Description
Summary: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. Key Features * Provides a versatile format for investigating linear model theory, using the mean model * Uses examples that are familiar to the student: * design of experiments, analysis of variance, regression, and normal distribution theory * Includes a review of relevant linear algebra concepts * Contains fully worked examples which follow the theorem/proof presentation
Physical Description:xii, 228 pages
ISBN:012508465X
9780125084659
058549214X
0080510299
9780585492148