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ISBN:1441929983
Author: László Györfi,Michael Kohler,Adam Krzyzak,Harro Walk
ISBN13: 978-1441929983
Title: A Distribution-Free Theory of Nonparametric Regression (Springer Series in Statistics)
Format: lit lrf lrf doc
ePUB size: 1973 kb
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Language: English
Category: Mathematics
Publisher: Springer; Softcover reprint of the original 1st ed. 2002 edition (December 1, 2010)
Pages: 650

A Distribution-Free Theory of Nonparametric Regression (Springer Series in Statistics) by László Györfi,Michael Kohler,Adam Krzyzak,Harro Walk



László Györfi Adam Krzyżak. Michael Kohler Harro Walk. A Distribution-Free Theory of Nonparametric Regression With 86 Figures. László Györfi Department of Computer Science and Information Theory Budapest University of Technology and Economics 1521 Stoczek, . Budapest Hungary [email protected] Michael Kohler Fachbereich Mathematik Universität Stuttgart Pfaffenwaldring 57 70569 Stuttgart Germany kohlerematik. Adam Krzyżak Department of Computer Science Concordia University 1455 De Maisonneuve Boulevard West Montreal, Quebec, H3G 1M8 Canada [email protected]

This book provides a systematic in-depth analysis of nonparametric regression with random design. It covers almost all known estimates. The emphasis is on distribution-free properties of the estimates.

This book is on nonparametric regression with random designs. This is a definitive treatise on the important methods of estimation in nonparametric regression and provides a clear exposition of the issues involved in consistency, rate of convergence and asymptotic optimality of different classes of estimates. Arup Bose, Sankhya, Vol. 65 (2), 2003). Bibliographic Information. A Distribution-Free Theory of Nonparametric Regression. Springer Series in Statistics.

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The ?rst nonparametric regression estimate of local averaging type was proposed by J. W. Tukey in 1947. The partitioning regression - timate he introduced, by analogy to the classical partitioning (histogram) density estimate, can be regarded as a special least squares estimate. Не удалось найти ни одного отзыва.

Download Free eBook:A Distribution-Free Theory of Nonparametric Regression - Free epub, mobi, pdf ebooks download, ebook torrents download. This book provides a systematic in-depth analysis of nonparametric regression with random design. It covers almost all known estimates such as classical local averaging estimates including kernel, partitioning and nearest neighbor estimates, least squares estimates using splines, neural networks and radial basis function networks, penalized least squares estimates, local polynomial kernel estimates, and orthogonal series estimates. Most consistency results are valid for all distributions of the data. Users who liked this book, also liked. The Arrl RFI Book (Softcover) (English).

A Distribution-Free Theory of Nonparametric Regression. László Györfi, Michael Kohler, Adam Krzyzak, Harro Walk. Nonparametric estimation of a quantile of a random variable m(X) is considered, where m : R → R is a function which is costly to compute and X is a R-valued random variable with given density. Related Mathematics Books: Descriptive Set Theory And.

László Györfi, Michael Kohler,. A Distribution-Free Theory of Nonparametric Regression Close. 1 2 3 4 5. Want to Read. Are you sure you want to remove A Distribution-Free Theory of Nonparametric Regression from your list? A Distribution-Free Theory of Nonparametric Regression. Published August 12, 2002 by Springer. Regression analysis, Nonparametric statistics, Distribution (Probability theory).

This book provides a systematic in-depth analysis of nonparametric regression with random design. It covers almost all known estimates. The emphasis is on distribution-free properties of the estimates.