ABSTRACT
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|99 pages
Preliminary Results
part 2|162 pages
Statistical Inferences
part 3|240 pages
Applications