All of nonparametric statistics

Author(s)

• Wasserman, Larry

Bibliographic Information

All of nonparametric statistics

Larry Wasserman

（Springer texts in statistics）

Springer, c2006

• : softcover

Note

Includes bibliographical references (p. [243]-257) and index

Softcover reprint of the hardcover 1st edition 2006

Description and Table of Contents

Description

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.

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.

by "Nielsen BookData"

Details

• NCID: BA74700705
• ISBN:
  • 9780387251455
  • 9781441920447
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: New York, N.Y.
• Pages/Volumes: xii, 268 p.
• Size: 24 cm
• Classification:
  • SG : 510
  • LCC : QA278.8
  • DC22 : 519.5
• Subject Headings:
  • LCSH : Nonparametric statistics
• Parent Bibliography ID:
  • BA00265563