| #3331848 in Books | 2002-01-08 | Original language:English | PDF # 1 | 9.21 x.75 x6.14l,1.30 | File type: PDF | 304 pages||30 of 30 people found the following review helpful.| extension of the concept of smoothing splines to higher dimensional data|By Michael R. Chernick|The smoothing approach to density estimation and regression began with kernel methods in the 1950s and 1960s. For regression problems, smoothing splines were introduced using roughness penalties in the early pioneering work of Kimeldorf and Wahba 1970 & 1971 and the famous paper by||From the reviews: TECHNOMETRICS "The book is well organized in eight clearly written chapters, each of which includes a closing section with useful bibliographic notes and problems for the reader…[This book] is recommended for a range of audiences. Re
Smoothing methods are an active area of research. In this book, the author presents a comprehensive treatment of penalty smoothing under a unified framework. Methods are developed for (i) regression with Gaussian and non-Gaussian responses as well as with censored life time data; (ii) density and conditional density estimation under a variety of sampling schemes; and (iii) hazard rate estimation with censored life time data and covariates. Extensive discussions are devot...
You easily download any file type for your gadget.Smoothing Spline ANOVA Models (Springer Series in Statistics) | Chong Gu. I was recommended this book by a dear friend of mine.
