Description
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/
Book Details
Format
eBook
Pages
404 pages
Language
English
Published
May 14, 2014
Publisher
Cambridge University Press
Editions
5 editions
ISBN-10
051106683X
ISBN-13
9780511066832
Genres
Science & Technology
Business & Economics