R. J. Carroll, David Ruppert, M. P. Wand

Semiparametric Regression

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 404
• Erscheinungstermin: 22. Juli 2010
• Englisch
• Abmessung: 254mm x 178mm x 22mm
• Gewicht: 757g
• ISBN-13: 9780521785167
• ISBN-10: 0521785162
• Artikelnr.: 22198359

Inhaltsangabe

1. Introduction
2. Parametric regression
3. Scatterplot smoothing
4. Mixed models
5. Automatic scatterplot smoothing
6. Inference
7. Simple semiparametric models
8. Additive models
9. Semiparametric mixed models
10. Generalized parametric regression
11. Generalized additive models
12. Interaction models
13. Bivariate smoothing
14. Variance function estimation
15. Measurement error
16. Bayesian semiparametric regression
17. Spatially adaptive smoothing
18. Analyses
19. Epilogue
A. Technical complements
B. Computational issues.