Smoothing and regression : approaches, computation, and application /

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 large number of the...

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Bibliographic Details
Other Authors: Schimek, Michael G. (Editor)
Format: eBook
Language:English
Language Notes:English.
Published: New York : Wiley, ©2000.
Series:Wiley series in probability and statistics. Applied probability and statistics.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary: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 large number of the latest and most advanced techniques for regression modeling. Unlike many other volumes on this topic, which are highly technical and specialized, this book discusses all methods in light of both computational efficiency and their applicability for real data analysis. Using examples of applications from the biosciences, environmental sciences, engineering, and economics, as well as medical research and marketing, this volume addresses the theory, computation, and application of each approach. A number of the techniques discussed, such as smoothing under shape restrictions or of dependent data, are presented for the first time in book form. For professionals and aspiring professionals in statistics, applied mathematics, computer science, and econometrics, as well as for researchers in the applied and social sciences.
Physical Description:1 online resource (xix, 607 pages) : illustrations
Format:Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Bibliography:Includes bibliographical references following each chapter, and index.
ISBN:9781118150658
1118150651
9781118150641
1118150643
1283446111
9781283446112
9786613446114
6613446114