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...
| Main Author: | Tsybakov, Alexandre B. (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
2009.
|
| Series: | Springer Series in Statistics,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Introductory Time Series with R
by: Metcalfe, Andrew V., et al.
Published: (2009) -
Maximum Penalized Likelihood Estimation Volume II: Regression /
by: LaRiccia, Vincent N., et al.
Published: (2009) -
Statistics and Analysis of Shapes
Published: (2006) -
Lectures on the Nearest Neighbor Method
by: Biau, Gérard, et al.
Published: (2015) -
Modern Multivariate Statistical Techniques Regression, Classification, and Manifold Learning /
by: Izenman, Alan J.
Published: (2008)