Semiparametric Regression

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. Author resource page: http: //www.stat.tamu.edu/ carroll/semiregbook/

Author: David Ruppert, M. P. Wand, R. J. Carroll
Publisher: Cambridge University Press
Published: 07/14/2003
Pages: 404
Binding Type: Hardcover
Weight: 2.02lbs
Size: 10.00h x 7.01w x 0.94d
ISBN: 9780521780506

This title is not returnable