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Semiparametric Regression

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ISBN-10: 0521785162

ISBN-13: 9780521785167

Edition: 2003

Authors: David Ruppert, M. P. Wand, R. J. Carroll, R. Gill, B. D. Ripley

List price: $62.99
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Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and public health. The book is geared towards researchers and professionals with little background in regression as well as statistically oriented scientists (biostatisticians, econometricians, quantitative social scientists, and epidemiologists) with knowledge of regression and the desire to begin using more flexible semiparametric models.
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Book details

List price: $62.99
Copyright year: 2003
Publisher: Cambridge University Press
Publication date: 7/14/2003
Binding: Paperback
Pages: 404
Size: 7.01" wide x 9.96" long x 0.75" tall
Weight: 1.760
Language: English

Introduction
Parametric regression
Scatterplot smoothing
Mixed models
Automatic scatterplot smoothing
Inference
Simple semiparametric models
Additive models
Semiparametric mixed models
Generalized parametric regression
Generalized additive models
Interaction models
Bivariate smoothing
Variance function estimation
Measurement error
Bayesian semiparametric regression
Spatially adaptive smoothing
Analyses
Epilogue
Technical complements
Computational issues