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Nonparametric and semiparametric models

By: Contributor(s): Material type: TextTextSeries: Springer series in statisticsPublication details: Berlin ; New York : Springer, ©2004.Description: xxvii, 299 pagesISBN:
  • 9783540207221
  • 3540207228
Subject(s): DDC classification:
  • 519.5 NON
Contents:
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.
Summary: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Permanent Reference Permanent Reference Main Library Permanent Reference Reference 519.5 NON (Browse shelf(Opens below)) Not for loan 012138
Reference Books Reference Books Main Library Reference Reference 519.5 NON (Browse shelf(Opens below)) Available 011303
Total holds: 0

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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