Advanced linear models : theory and applications

Author(s)

• Wang, Sung-kuei
• Chow, Shein-Chung

Bibliographic Information

Advanced linear models : theory and applications

Song-Gui Wang, Shein-Chung Chow

（Statistics : textbooks and monographs, v. 141）

M. Dekker, c1994

• : alk. paper

Note

Includes bibliographical references (p. 523-532) and index

Description and Table of Contents

Description

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.

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.

by "Nielsen BookData"

Details

• NCID: BA2195874X
• ISBN:
  • 082479169X
• LCCN: 93037224
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: New York
• Pages/Volumes: x, 537 p.
• Size: 24 cm
• Classification:
  • LCC : QA279
  • DC20 : 519.5
• Subject Headings:
  • LCSH : Linear models (Statistics)
• Parent Bibliography ID:
  • BA0001061X