Advanced linear models : theory and applications
Author(s)
Bibliographic Information
Advanced linear models : theory and applications
(Statistics : textbooks and monographs, v. 141)
M. Dekker, c1994
- : alk. paper
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Research Institute for Economics & Business Administration (RIEB) Library , Kobe University図書
: alk. paper519.9-711s081000088811*
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"