Advanced Linear Models: Theory and Applications

Advanced Linear Models: Theory and Applications

by Shein-Chung Chow, Song-Gui Wang
     
 

ISBN-10: 082479169X

ISBN-13: 9780824791698

Pub. Date: 12/14/1993

Publisher: Taylor & Francis

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

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:
9780824791698
Publisher:
Taylor & Francis
Publication date:
12/14/1993
Series:
Statistics: A Series of Textbooks and Monographs Series, #141
Pages:
552
Product dimensions:
6.00(w) x 9.00(h) x 2.00(d)

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.

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