Local Polynomial Modelling and Its Applications : Monographs on Statistics and Applied Probability 66

Jianqing Fan

ISBN 10: 0412983214 / ISBN 13: 9780412983214

Verlag: Chapman And Hall/CRC, 1996

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9780412983214

Bibliografische Details

Titel: Local Polynomial Modelling and Its ...

Verlag: Chapman And Hall/CRC

Erscheinungsdatum: 1996

Einband: Buch

Zustand: Neu

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Book by Fan Jianqing Gijbels Irene

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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.