Kernel smoothing principles, methods and applications
Comprehensive theoretical overview of kernel smoothing methods with motivating examples Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoo...
Other Authors: | |
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Format: | eBook |
Language: | Inglés |
Published: |
Hoboken, New Jersey :
Wiley
2018.
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Edition: | 1st edition |
Series: | THEi Wiley ebooks.
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Subjects: | |
See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631596206719 |
Table of Contents:
- Density estimation
- Nonparametric regression
- Trend estimation
- Semiparametric regression
- Surface estimation.