Nonparametric and semiparametric models
Material type: TextSeries: Springer series in statisticsPublication details: Berlin ; New York : Springer, ©2004.Description: xxvii, 299 pagesISBN:- 9783540207221
- 3540207228
- 519.5 NON
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Permanent Reference | Main Library Permanent Reference | Reference | 519.5 NON (Browse shelf(Opens below)) | Not for loan | 012138 | |||
Reference Books | Main Library Reference | Reference | 519.5 NON (Browse shelf(Opens below)) | Available | 011303 |
Bibliography & Index
1. Introduction --
Part I. Nonparametric models --
2. Histogram --
3. Nonparametric density estimation --
4. Nonparametric regression --
Part II. Semiparametric models --
5. Semiparametric and generalized regression models --
6. Single index models --
7. Generalized partial linear models --
8. Additive models and marginal effects --
9. Generalized additive models.
It naturally splits into two parts: The first part is intended for undergraduate students majoring in mathematics, statistics, econometrics or biometrics whereas the second part is intended to be used by master and PhD students or researchers.
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