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LaRiccia, Vincent N.

Maximum Penalized Likelihood Estimation

LaRiccia, Vincent N. - Maximum Penalized Likelihood Estimation, ebook

82,45€

Ebook, PDF with Adobe DRM
ISBN: 9780387689029
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Table of contents

2. Nonparametric Regression
Paul P. B. Eggermont, Vincent N. LaRiccia

3. Smoothing Splines
Paul P. B. Eggermont, Vincent N. LaRiccia

4. Kernel Estimators
Paul P. B. Eggermont, Vincent N. LaRiccia

5. Sieves
Paul P. B. Eggermont, Vincent N. LaRiccia

6. Local Polynomial Estimators
Paul P. B. Eggermont, Vincent N. LaRiccia

7. Other Nonparametric Regression Problems
Paul P. B. Eggermont, Vincent N. LaRiccia

8. Smoothing Parameter Selection
Paul P. B. Eggermont, Vincent N. LaRiccia

9. Computing Nonparametric Estimators
Paul P. B. Eggermont, Vincent N. LaRiccia

10. Kalman Filtering for Spline Smoothing
Paul P. B. Eggermont, Vincent N. LaRiccia

11. Equivalent Kernels for Smoothing Splines
Paul P. B. Eggermont, Vincent N. LaRiccia

12. Strong Approximation and Confidence Bands
Paul P. B. Eggermont, Vincent N. LaRiccia

13. Nonparametric Regression in Action
Paul P. B. Eggermont, Vincent N. LaRiccia

Keywords: Statistics, Computational Mathematics and Numerical Analysis, Biostatistics, Signal, Image and Speech Processing, Econometrics, Biometrics, Statistical Theory and Methods

Author(s)
 
Publisher
Springer
Publication year
2009
Language
en
Edition
1
Series
Springer Series in Statistics
Page amount
18 pages
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9780387689029

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