Smoothing methods are an active area of research. In this book the authorpresents a comprehensive treatment of penalty smoothing under a unifiedframework. Metho... » 

Smoothing methods are an active area of research. In this book the authorpresents a comprehensive treatment of penalty smoothing under a unifiedframework. Methods are developed for i regression with Gaussian and nonGaussian responses as well as with censored life time data ii density andconditional density estimation under a variety of sampling schemes and iiihazard rate estimation with censored life time data and covariates. Extensivediscussions are devoted to model construction smoothing parameter selectioncomputation and asymptotic convergence. Most of the computational and dataanalytical tools discussed in the book are implemented in R an opensourceclone of the popular SS PLUS language. «