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Linear Model Theory - Exercises and Solutions (Paperback, 1st ed. 2020)
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Linear Model Theory - Exercises and Solutions (Paperback, 1st ed. 2020)
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This book contains 296 exercises and solutions covering a wide
variety of topics in linear model theory, including generalized
inverses, estimability, best linear unbiased estimation and
prediction, ANOVA, confidence intervals, simultaneous confidence
intervals, hypothesis testing, and variance component estimation.
The models covered include the Gauss-Markov and Aitken models,
mixed and random effects models, and the general mixed linear
model. Given its content, the book will be useful for students and
instructors alike. Readers can also consult the companion textbook
Linear Model Theory - With Examples and Exercises by the same
author for the theory behind the exercises.
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