Semiparametric regression / David Ruppert, M.P. Wand, R.J. Carroll.

By:

Ruppert, David

Contributor(s):

Material type: Text

TextLanguage: English Series: Cambridge series in statistical and probabilistic mathematicsPublication details: Cambridge ; New York : Cambridge University Press, 2003.Description: xvi, 386 p. : ill. ; 26 cmISBN:

0521780500 (hbk.)
0521785162 (pb.)

Subject(s):

DDC classification:

R 519.536 RUP(SEM)

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Holdings
Item type	Current library	Collection	Call number	Vol info	Copy number	Status	Barcode
REFERENCE STATISTICS	St. Xavier's University, Kolkata Reference Section	Reference	R 519.536 RUP(SEM) (Browse shelf(Opens below))	S.X.U.K	9836	Not For Loan	US9836

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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.

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