Linear Programming

Read e-book online Advanced Linear Models (Statistics: A Series of Textbooks PDF

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By Shein-Chung Chow, Song-Gui Wang

This paintings info the statistical inference of linear versions together with parameter estimation, speculation checking out, self assurance periods, and prediction. The authors speak about the applying of statistical theories and methodologies to varied linear versions equivalent to the linear regression version, the research of variance version, the research of covariance version, and the variance elements version.

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Read Online or Download Advanced Linear Models (Statistics: A Series of Textbooks and Monographs) PDF

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Extra resources for Advanced Linear Models (Statistics: A Series of Textbooks and Monographs)

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L. Ju, and F. Y. C. Ki for many helpful discussions and for reading portions of the manuscript. The first author wishes to express many thanks to his wife, Zhong-Zhen Jia, and two daughters, Xiao-Jing and Xiao-Tian, for their assistance in providing many necessary references at the early stages of the preparation of this book. The second author wishes to express his appreciation to his wife, Yueh-Ji, and two daughters, Emily and Lilly, for their patience and understanding during the preparation of this book.

L. Ju, and F. Y. C. Ki for many helpful discussions and for reading portions of the manuscript. The first author wishes to express many thanks to his wife, Zhong-Zhen Jia, and two daughters, Xiao-Jing and Xiao-Tian, for their assistance in providing many necessary references at the early stages of the preparation of this book. The second author wishes to express his appreciation to his wife, Yueh-Ji, and two daughters, Emily and Lilly, for their patience and understanding during the preparation of this book.

In each chapter, an up-to-date theory, methodology, applications, and further developments are included. We assume that readers are familiar with the basic concepts of matrix and vector algebra. However, some further results on linear algebra, such as the generalized inverse of a matrix and the Kronecker product between matrices, and the derivatives of a matrix are given in Chapter 2. A solid first-year graduate course in mathematical statistics and an introductory regression course will be helpful for the reader.

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