Détails du livre
Format
Kindle
Pages
402
Langue
Anglais
Publié
Dec 2, 2004
Éditeur
Cambridge University Press
ISBN-10
0511060521
ISBN-13
9780511060526
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/
Genres
Science & Technologie
Affaires & Économie