Nonparametric and Semiparametric Models
Series: Springer Series in Statistics;
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Product details:
- Edition number 2004
- Publisher Springer Berlin Heidelberg
- Date of Publication 22 March 2004
- Number of Volumes 1 pieces, Book
- ISBN 9783540207221
- Binding Hardback
- See also 9783642620768
- No. of pages300 pages
- Size 235x155 mm
- Weight 664 g
- Language English
- Illustrations XXVII, 300 p. Illustrations, black & white 0
Categories
Long description:
The concept of nonparametric smoothing is a central idea in statistics that aims to simultaneously estimate and modes the underlying structure.
The aim of this monograph is to present the statistical and mathematical principles of smoothing with a focus on applicable techniques. The necessary mathematical treatment is easily understandable and a wide variety of interactive smoothing examples are given.
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Table of Contents:
1 Introduction.- 1.1 Density Estimation.- 1.2 Regression.- Summary.- I Nonparametric Models.- 2 Histogram.- 3 Nonparametric Density Estimation.- 4 Nonparametric Regression.- 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.- References.- Author Index.
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