Advanced linear models : theory and applications
著者
書誌事項
Advanced linear models : theory and applications
（Statistics : textbooks and monographs, v. 141）
M. Dekker, c1994
- : alk. paper
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注記
Includes bibliographical references (p. 523-532) and index
内容説明・目次
内容説明
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.
目次
- 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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