Articoli correlati a A Distribution-Free Theory of Nonparametric Regression
A Distribution-Free Theory of Nonparametric Regression - Rilegato
Libro 121 di 160: Springer Series in Statistics
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Dalla quarta di copertina
The regression estimation problem has a long history. Already in 1632 Galileo Galilei used a procedure which can be interpreted as ?tting a linear relationship to contaminated observed data. Such ?tting of a line through a cloud of points is the classical linear regression problem. A solution of this problem is provided by the famous principle of least squares, which was discovered independently by A. M. Legendre and C. F. Gauss and published in 1805 and 1809, respectively. The principle of least squares can also be applied to construct nonparametric regression estimates, where one does not restrict the class of possible relationships, and will be one of the approaches studied in this book. Linear regression analysis, based on the concept of a regression function, was introduced by F. Galton in 1889, while a probabilistic approach in the context of multivariate normal distributions was already given by A. B- vais in 1846. 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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per A Distribution-Free Theory of Nonparametric Regression
Immagini fornite dal venditore
A Distribution-Free Theory of Nonparametric Regression (Springer Series in Statistics)
Da: Studibuch, Stuttgart, Germania
Valutazione del venditore 5 su 5 stelle
hardcover. Condizione: Sehr gut. 666 Seiten; 9780387954417.2 Gewicht in Gramm: 1. Codice articolo 1229535
Compra usato
EUR 116,84
Spedizione EUR 62,30
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
A Distribution-Free Theory of Nonparametric Regression (Springer Series in Statistics)
Da: -OnTimeBooks-, Phoenix, AZ, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail. Codice articolo OTV.0387954414.G
Compra usato
EUR 221,27
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Distribution-Free Theory of Nonparametric Regression
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 957979-n
Compra nuovo
EUR 340,92
Spedizione EUR 2,36
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 15 disponibili
Immagini fornite dal venditore
A Distribution-Free Theory of Nonparametric Regression
Editore:
Springer-Verlag New York Inc., US, 2002
ISBN 10: 0387954414
ISBN 13: 9780387954417
Nuovo
Rilegato
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
Hardback. Condizione: New. 2002 ed. This monograph presents a modern approach to nonparametric regression with random design. The audience is graduate students and researchers in statistics, mathematics, computer science, and engineering. Codice articolo LU-9780387954417
Compra nuovo
EUR 343,36
Spedizione gratuita
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
A Distribution-Free Theory of Nonparametric Regression
Da: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. A Distribution-Free Theory of Nonparametric Regression | László Györfi (u. a.) | Buch | Springer Series in Statistics | xvi | Englisch | 2002 | Springer | EAN 9780387954417 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 102997708
Compra nuovo
EUR 297,80
Spedizione EUR 70,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
A Distribution-Free Theory of Nonparametric Regression
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Gebunden. Condizione: New.  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. |The regression estimation problem has a l. Codice articolo 5912533
Compra nuovo
EUR 321,65
Spedizione EUR 48,99
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
A Distribution-Free Theory of Nonparametric Regression
Print on DemandDa: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The regression estimation problem has a long history. Already in 1632 Galileo Galilei used a procedure which can be interpreted as tting a linear relationship to contaminated observed data. Such tting of a line through a cloud of points is the classical linear regression problem. A solution of this problem is provided by the famous principle of least squares, which was discovered independently by A. M. Legendre and C. F. Gauss and published in 1805 and 1809, respectively. The principle of least squares can also be applied to construct nonparametric regression estimates, where one does not restrict the class of possible relationships, and will be one of the approaches studied in this book. Linear regression analysis, based on the concept of a regression function, was introduced by F. Galton in 1889, while a probabilistic approach in the context of multivariate normal distributions was already given by A. B- vais in 1846. 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. 672 pp. Englisch. Codice articolo 9780387954417
Compra nuovo
EUR 353,09
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Distribution-Free Theory of Nonparametric Regression
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition. Codice articolo 957979
Compra usato
EUR 404,55
Spedizione EUR 2,36
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 15 disponibili
Immagini fornite dal venditore
A Distribution-Free Theory of Nonparametric Regression
Print on DemandDa: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The regression estimation problem has a long history. Already in 1632 Galileo Galilei used a procedure which can be interpreted as tting a linear relationship to contaminated observed data. Such tting of a line through a cloud of points is the classical linear regression problem. A solution of this problem is provided by the famous principle of least squares, which was discovered independently by A. M. Legendre and C. F. Gauss and published in 1805 and 1809, respectively. The principle of least squares can also be applied to construct nonparametric regression estimates, where one does not restrict the class of possible relationships, and will be one of the approaches studied in this book. Linear regression analysis, based on the concept of a regression function, was introduced by F. Galton in 1889, while a probabilistic approach in the context of multivariate normal distributions was already given by A. B- vais in 1846. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 672 pp. Englisch. Codice articolo 9780387954417
Compra nuovo
EUR 353,09
Spedizione EUR 60,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
A Distribution-Free Theory of Nonparametric Regression
Editore:
Springer-Verlag New York Inc., US, 2002
ISBN 10: 0387954414
ISBN 13: 9780387954417
Nuovo
Rilegato
Da: Rarewaves.com UK, London, Regno Unito
Valutazione del venditore 5 su 5 stelle
Hardback. Condizione: New. 2002 ed. This monograph presents a modern approach to nonparametric regression with random design. The audience is graduate students and researchers in statistics, mathematics, computer science, and engineering. Codice articolo LU-9780387954417
Compra nuovo
EUR 339,40
Spedizione EUR 77,88
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili