Such model is called multiple linear regression or multivariable linear model. In essence, the additional predictors are expected to explain the variation in the response not explained by a simple ...

The L 2 rate of convergence for the estimate and its ANOVA components is obtained. An adaptive numerical implementation is discussed, whose performance is compared to (full likelihood) hazard ...

In this workshop we look at where we have more than one predictor in our linear model. Start by downloading labC05.Rmd and load it into RStudio. Any text in italics reminds you that you need to have a ...