UID:
almafu_9959328100202883
Umfang:
1 online resource (xix, 607 pages) :
,
illustrations
Ausgabe:
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
ISBN:
9781118150658
,
1118150651
,
9781118150641
,
1118150643
Serie:
Wiley series in probability and statistics. Applied probability and statistics section
Inhalt:
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.
Anmerkung:
Spline regression /
,
Variance estimation and smoothing-parameter selection for spline regression /
,
Kernel regression /
,
Variance estimation and bandwidth selection for kernel regression /
,
Spline and kernel regression under shape restrictions /
,
Spline and kernel regression for dependent data /
,
Wavelets for regression and other statistical problems /
,
Smoothing methods for discrete data /
,
Local polynomial fitting /
,
Additive and generalized additive models /
,
Multivariate spline regression /
,
Multivariate and semiparametric kernel regression /
,
Spatial-process estimates as smoothers /
,
Resampling methods for nonparametric regression /
,
Multidimensional smoothing and visualization /
,
Projection pursuit regression /
,
Sliced inverse regression /
,
Dynamic and semiparametric models /
,
Nonparametric Bayesian bivariate surface estimation /
,
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.
Weitere Ausg.:
Print version: Smoothing and regression. New York : Wiley, ©2000
Sprache:
Englisch
Fachgebiete:
Mathematik
Schlagwort(e):
Electronic books.
;
Electronic books.
;
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118150658
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118150658
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118150658
