Advanced Linear Models: Theory and Applications

by Shein-Chung Chow, Song-Gui Wang

Overview

This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and prediction. The authors discuss the application of statistical theories and methodologies to various linear models such as the linear regression model, the analysis of variance model, the analysis of covariance model, and the variance components model.

Product Details

ISBN-13:	9781351468558
Publisher:	CRC Press
Publication date:	05/04/2018
Series:	Statistics: A Series of Textbooks and Monographs
Sold by:	Barnes & Noble
Format:	eBook
Pages:	552
File size:	19 MB
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About the Author

Chow, Shein-Chung

Table of Contents

Part 1 Preliminary results: matrix theory; multivariate normal and related distributions. Part 2 Statistical inferences; introduction to linear models; parameter estimation; statistical inferences. Part 3 Applications: linear regression models; analysis of variance models; analysis of covariance models; variance components models.