Nonparametric Regression and Generalized Linear Models: A roughness penalty approach (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) - Tapa dura

Silverman, Bernard. W.; Green, P.J.

 
9780412300400: Nonparametric Regression and Generalized Linear Models: A roughness penalty approach (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Tapa dura
ISBN 10: 0412300400 ISBN 13: 9780412300400
Editorial: Chapman and Hall/CRC, 1993

Sinopsis

Nonparametric Regression and Generalized Linear Models focuses on the roughness penalty method of nonparametric smoothing and shows how this technique provides a unifying approach to a wide range of smoothing problems. The emphasis is methodological rather than theoretical, and the authors concentrate on statistical and computation issues. Real data examples are used to illustrate the various methods and to compare them with standard parametric approaches. The mathematical treatment is self-contained and depends mainly on simple linear algebra and calculus. This monograph will be useful both as a reference work for research and applied statisticians and as a text for graduate students.

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Acerca del autor

P.J. Green, Bristol Univesity. Bernard. W. Silverman St. Peters College, Oxford.

De la contraportada

Over the past 15 years there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This monograph concentrates on the roughness penalty method with the aim of showing how it provides a unifying approach to a wide range of smoothing problems. The method allows parametric assumptions to be relaxed both in regression problems and in those approached by generalized linear modelling. The emphasis throughout is methodological rather than theoretical and concentrates on statistical and computational issues. Real data examples are used to illustrate the various methods and to compare them with standard parametric approaches. Some publicly available software is also discussed. The mathematical treatment is intended to be largely self-contained, and depends mainly on simple linear algebra and calculus. This monograph will be useful both as a reference work for research and applied statisticians and as a text for graduate students and others encountering the material for the first time.

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Editorial
Chapman and Hall/CRC
Año de publicación
1993
Idioma
Inglés
ISBN 10 
0412300400
ISBN 13 
9780412300400
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
196
Contacto del fabricante
no disponible
Persona responsable
no disponible