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Cover: 9780412983214 | Local Polynomial Modelling and Its Applications | Jianqing Fan (u. a.)
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Local Polynomial Modelling and Its Applications
Monographs on Statistics and Applied Probability 66
Buch von Jianqing Fan (u. a.)
Sprache: Englisch

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Beschreibung
Data-analytic approaches to regression problems, arising from many scientific disciplines are described in this book. The aim of these nonparametric methods is to relax assumptions on the form of a regression function and to let data search for a suitable function that describes the data well. The use of these nonparametric functions with parametric techniques can yield very powerful data analysis tools. Local polynomial modeling and its applications provides an up-to-date picture on state-of-the-art nonparametric regression techniques. The emphasis of the book is on methodologies rather than on theory, with a particular focus on applications of nonparametric techniques to various statistical problems. High-dimensional data-analytic tools are presented, and the book includes a variety of examples. This will be a valuable reference for research and applied statisticians, and will serve as a textbook for graduate students and others interested in nonparametric regression.
Data-analytic approaches to regression problems, arising from many scientific disciplines are described in this book. The aim of these nonparametric methods is to relax assumptions on the form of a regression function and to let data search for a suitable function that describes the data well. The use of these nonparametric functions with parametric techniques can yield very powerful data analysis tools. Local polynomial modeling and its applications provides an up-to-date picture on state-of-the-art nonparametric regression techniques. The emphasis of the book is on methodologies rather than on theory, with a particular focus on applications of nonparametric techniques to various statistical problems. High-dimensional data-analytic tools are presented, and the book includes a variety of examples. This will be a valuable reference for research and applied statisticians, and will serve as a textbook for graduate students and others interested in nonparametric regression.
Über den Autor
Jianqing Fan
Inhaltsverzeichnis
Preface, l. Introduction, 2. Overview of existing methods, 3. Framework for local polynomial regression, 4. Automatic determination of model complexity, 5. Applications of local polynomial modelling, 6. Applications in nonlinear time series, 7. Local polynomial regression for multivariate data, References, Author index, Subject index
Details
Empfohlen (bis): 18
Erscheinungsjahr: 1996
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9780412983214
ISBN-10: 0412983214
Sprache: Englisch
Einband: Gebunden
Autor: Fan, Jianqing
Gijbels, Irene
Hersteller: Chapman and Hall/CRC
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 235 x 157 x 24 mm
Von/Mit: Jianqing Fan (u. a.)
Erscheinungsdatum: 01.03.1996
Gewicht: 0,669 kg
Artikel-ID: 128511397
Über den Autor
Jianqing Fan
Inhaltsverzeichnis
Preface, l. Introduction, 2. Overview of existing methods, 3. Framework for local polynomial regression, 4. Automatic determination of model complexity, 5. Applications of local polynomial modelling, 6. Applications in nonlinear time series, 7. Local polynomial regression for multivariate data, References, Author index, Subject index
Details
Empfohlen (bis): 18
Erscheinungsjahr: 1996
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9780412983214
ISBN-10: 0412983214
Sprache: Englisch
Einband: Gebunden
Autor: Fan, Jianqing
Gijbels, Irene
Hersteller: Chapman and Hall/CRC
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 235 x 157 x 24 mm
Von/Mit: Jianqing Fan (u. a.)
Erscheinungsdatum: 01.03.1996
Gewicht: 0,669 kg
Artikel-ID: 128511397
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