Author Description

Product 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/ Review "I would recommend this book to anyone interested in the field. It is very readable, informative without being heavy, and (excellent news) comes in a paperback version as well as hardback." ISI Short Book Reviews "This great book is the first one to remove barriers and to close gaps between advanced statistical methodology and applied research in various fields... I highly recommend this book... It provides a very readable access to modern semiparametric regression, demonstrates its potential in various applications, and is an inspiring source for new ideas. I enjoyed reading this book." Biometrics "... contains clear presentations of new developments in the field and also the state of the art in classical methods... I found it an easily readable book; its coverage of material was extensive and well explained and well illustrated... I found the material useful and I recommend it strongly to anyone who is interested in modern nonparametric methods, whether they are expert or not... here are 500-odd pages of good teaching material, nicely done, culminating in the arc-sine law and the Black-Scholes formula: anyone teaching probability would be glad to have it to hand." Journal of the Royal Statistical Society "This book provides an extensive overview