A fundamental problem in statistical analysis is checking how well a particular probability model fits a set of observed data. In many settings, nonparametric smoothing methods provide a convenient and powerful means of testing model fit. This is an exploration of the use of smo…
A comprehensive introduction to a wide variety of univariate and multivariate smoothing techniques for regression, this volume bridges the many gaps that exist among competing univariate and multivariate smoothing techniques. It introduces, describes, and in some cases compares …
A comprehensive introduction to a wide variety of univariate and multivariate smoothing techniques for regression, this volume bridges the many gaps that exist among competing univariate and multivariate smoothing techniques. It introduces, describes, and in some cases compares …
Competing risks and multistate models with R
by Beyersmann, Jan, Allignol, Arthur, Schumacher, Martin
fromUse R!
"The methods advanced in this book have their genesis in traditional nonparametrics. They incorporate the power of modern computers to make the approach more complete and more valid than previously possible. The authors' unified treatment and readable style make the subject easy…
"The methods advanced in this book have their genesis in traditional nonparametrics. They incorporate the power of modern computers to make the approach more complete and more valid than previously possible. The authors' unified treatment and readable style make the subject easy…
Statistics is easy!
by Shasha, Dennis, Wilson, Manda
fromSynthesis lectures on mathematics and statistics
