Linear Model Theory: Exercises and Solutions

This book provides 296 exercises and solutions covering linear model theory, including generalized inverses, estimability, best linear unbiased estimation, ANOVA, confidence intervals, simultaneous confidence intervals, hypothesis testing, and variance component estimation. It is useful for students and instructors and can be consulted with the companion textbook Linear Model Theory - With Examples and Exercises by the same author.

Format: Paperback / softback
Length: 353 pages
Publication date: 03 November 2021
Publisher: Springer Nature Switzerland AG

This comprehensive book offers a wealth of 296 exercises and detailed solutions, spanning a diverse range of topics in linear model theory. It delves into various aspects, such as generalized inverses, estimability, best linear unbiased estimation and prediction (BLUEP), analysis of variance (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. With its extensive coverage and insightful explanations, this book is an invaluable resource for both students and instructors in the field. Additionally, readers can refer to the companion textbook Linear Model Theory - With Examples and Exercises by the same author, which provides a deeper theoretical understanding of the exercises presented in this book. Whether you are seeking to enhance your knowledge or apply these models in practical applications, this comprehensive text will be your trusted guide.

Weight: 557g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030520762
Edition number: 1st ed. 2020