Introduction to nonparametric estimation
Methods of nonparametric estimation are located at the core of modern statistical science. The aim of this book is to give a short but mathematically self-contained introduction to the theory of nonparametric estimation. The emphasis is on the construction of optimal estimators; therefore the concep...
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| Hlavní autor: | |
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| Další autoři: | |
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2009. |
| Edice: | Springer Series in Statistics
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| Témata: | |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Introduction to nonparametric estimation, Alexandre B. Tsybakov, 2009, New York, Springer, 1 vol. (XII-214 p.), Springer series in statistics, 978-0-387-79051-0 |
Obsah:
- Nonparametric estimators Lower bounds on the minimax risk Asymptotic efficiency and adaptation.