Introduces methods, theory, and applications of linear statistical models, covering topics such as estimation, residual diagnostics, goodness of fit, transformations, and various strategies for ...

Quantile regression, which models the conditional quantiles of the response variable given covariates, usually assumes a linear model. However, this kind of linearity is often unrealistic in real life ...

The small-sample behavior of rank score tests due to Adichie and to Sen is compared to the classical parametric F test for parallelism of regression lines. Empirical power functions generated by a ...