Description: Linear Model Theory : With Examples and Exercises, Hardcover by Zimmerman, Dale L., ISBN 3030520625, ISBN-13 9783030520625, Brand New, Free shipping in the US This textbook presents a unified and rigorous approach to best linear unbiased estimation and prediction of parameters and random quantities in linear models, as well as other theory upon which much of the statistical methodology associated with linear models is based. The single most unique feature of th is that each major concept or result is illustrated with one or more concrete examples or special cases. Commonly used methodologies based on the theory are presented in methodological interludes scattered throughout th, along with a wealth of exercises that will benefit students and instructors alike. Generalized inverses are used throughout, so that the model matrix and various other matrices are not required to have full rank. Considerably more emphasis is given to estimability, partitioned analyses of variance, constrained least squares, effects of model misspecification, and most especially prediction than in many other textbooks on linear models. This book is intended for master and PhD students with a basic grasp of statistical theory, matrix algebra and applied regression analysis, and for instructors of linear models courses. Solutions to th’s exercises are available in the companion volume Linear Model Theory - Exercises and Solutions by the same author.
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Book Title: Linear Model Theory : With Examples and Exercises
Number of Pages: Xxi, 504 Pages
Language: English
Publication Name: Linear Model Theory : with Examples and Exercises
Publisher: Springer International Publishing A&G
Subject: Algebra / Linear, Probability & Statistics / General
Publication Year: 2020
Item Weight: 33.5 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Mathematics
Author: Dale L. Zimmerman
Item Width: 6.1 in
Format: Hardcover