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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Tsybakov, Alexandre B. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Springer Series in Statistics,
Temas:
Statistics .
Computer science-Mathematics.
Mathematical statistics.
Pattern recognition systems.
Econometrics.
Signal processing.
Probabilities.
Statistical Theory and Methods.
Probability and Statistics in Computer Science.
Automated Pattern Recognition.
Signal, Speech and Image Processing .
Probability Theory.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Nonparametric estimators
  • Lower bounds on the minimax risk
  • Asymptotic efficiency and adaptation.

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