Semiparametric regression

Name: Semiparametric regression
ISBN: 9780521785167

David Ruppert, M. P. Wand, R. J. Carroll

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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.

Категории:

Mathematics - Mathematical Statistics

Год:

2003

Издание:

Издательство:

Cambridge University Press

Язык:

english

Страницы:

402

ISBN 10: