Types of Linear Models
This chapter presents exercises on types of linear models, and provides solutions to those exercises.
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Linear Model Theory Exercises and Solutions
Linear Model Theory
Dale L. Zimmerman
Linear Model Theory Exercises and Solutions
Dale L. Zimmerman Department of Statistics and Actuarial Science University of Iowa Iowa City, IA, USA
ISBN 978-3-030-52073-1 ISBN 978-3-030-52074-8 (eBook) https://doi.org/10.1007/978-3-030-52074-8 Mathematics Subject Classification: 62J05, 62J10, 62F03, 62F10, 62F25 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
In loving gratitude to my late father, Dean Zimmerman, and my mother, Wendy Zimmerman
Contents
1
A Brief Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1
2
Selected Matrix Algebra Topics and Results . . . . . . . . . . . . . . . . . . . . . . . . . . . .
3
3
Generalized Inverses and Solutions to Systems of Linear Equations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
7
Moments of a Random Vector and of Linear and Quadratic Forms in a Random Vector . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
21
5
Types of Linear Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
31
6
Estimability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
39
7
Least Squares Estimation for the Gauss–Markov Model . . . . . . . . . . . . . .
63
8
Least Squares Geometry and the Overall ANOVA . . . . . . . . . . . . . . . . . . . . .
91
9
Least Squares Estimation and ANOVA for Partitione
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