Semiparametric Regression
1999
First Published
4.20
Average Rating
404
Number of Pages
Part of Series
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
Avg Rating
4.20
Number of Ratings
10
5 STARS
40%
4 STARS
40%
3 STARS
20%
2 STARS
0%
1 STARS
0%
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