All of Nonparametric Statistics

The goal of this text is to provide the reader with a single book where they can find a brief account of many, modern topics in nonparametric inference. The book is aimed at Master's level or Ph.D. level students in statistics, computer science, and engineering. It is also suitable for research...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Wasserman, Larry (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer New York : Imprint: Springer, 2006.
Edition:1st ed. 2006.
Series:Springer Texts in Statistics,
Subjects:
Statistics .
Artificial intelligence.
Statistical Theory and Methods.
Artificial Intelligence.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Online Access:Texto Completo
Table of Contents:
  • Estimating the CDF and Statistical Functionals
  • 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 Methods
  • Other Topics.

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