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: Paperback
Weight: 1.54lbs
Size: 9.98h x 7.02w x 0.73d
ISBN: 9780521785167

This title is not returnable