All of Nonparametric Statistics
(Sprache: Englisch)
This comprehensive text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference, all set out with exceptional clarity. The book's dual approach includes a mixture of methodology and theory.
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Produktinformationen zu „All of Nonparametric Statistics “
This comprehensive text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference, all set out with exceptional clarity. The book's dual approach includes a mixture of methodology and theory.
Klappentext zu „All of Nonparametric Statistics “
This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. It covers a wide range of topics including the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book's dual approach includes a mixture of methodology and theory.
Inhaltsverzeichnis zu „All of Nonparametric Statistics “
- Introduction- Estimating the CDF and Statistical Functions
- The Bootstrap and the Jackknife
- Smoothing: General Concepts
- Nonparametric Regression
- Density Estimation
- Normal Means and Minimax Theory
- Nonparametric Inference Using Orthogonal Functions
- Wavelets and Other Adaptive Means
Autoren-Porträt von Larry Wasserman
Aimed at Masters or PhD level students in statistics, computer science, and engineering, this comprehensive text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference, all set out with exceptional clarity. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. With an exhaustive exploration of asymptotic nonparametric inferences, it also covers a huge range of other crucial topic areas including the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book s dual approach includes a mixture of methodology and theory.Bibliographische Angaben
- Autor: Larry Wasserman
- 2007, Corr. pr., 270 Seiten, 52 Abbildungen, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, New York
- ISBN-10: 0387251456
- ISBN-13: 9780387251455
Sprache:
Englisch
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