Advertisement

© 1999

Subsampling

Textbook

Part of the Springer Series in Statistics book series (SSS)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Basic Theory

    1. Front Matter
      Pages 1-1
    2. Dimitris N. Politis, Joseph P. Romano, Michael Wolf
      Pages 3-38
    3. Dimitris N. Politis, Joseph P. Romano, Michael Wolf
      Pages 39-64
    4. Dimitris N. Politis, Joseph P. Romano, Michael Wolf
      Pages 65-100
    5. Dimitris N. Politis, Joseph P. Romano, Michael Wolf
      Pages 101-119
    6. Dimitris N. Politis, Joseph P. Romano, Michael Wolf
      Pages 120-137
    7. Dimitris N. Politis, Joseph P. Romano, Michael Wolf
      Pages 138-158
    8. Dimitris N. Politis, Joseph P. Romano, Michael Wolf
      Pages 159-170
  3. Extensions, Practical Issues, and Applications

    1. Front Matter
      Pages 171-171
    2. Dimitris N. Politis, Joseph P. Romano, Michael Wolf
      Pages 173-187
    3. Dimitris N. Politis, Joseph P. Romano, Michael Wolf
      Pages 188-212
    4. Dimitris N. Politis, Joseph P. Romano, Michael Wolf
      Pages 213-252
    5. Dimitris N. Politis, Joseph P. Romano, Michael Wolf
      Pages 253-269
    6. Dimitris N. Politis, Joseph P. Romano, Michael Wolf
      Pages 270-290
    7. Dimitris N. Politis, Joseph P. Romano, Michael Wolf
      Pages 291-314
  4. Back Matter
    Pages 315-348

About this book

Introduction

Since Efron's profound paper on the bootstrap, an enormous amount of effort has been spent on the development of bootstrap, jacknife, and other resampling methods. The primary goal of these computer-intensive methods has been to provide statistical tools that work in complex situations without imposing unrealistic or unverifiable assumptions about the data generating mechanism. The primary goal of this book is to lay some of the foundation for subsampling methodology and related methods.

Keywords

Resampling Subsampling paper sets simulation

Authors and affiliations

  1. 1.Department of MathematicsUniversity of CaliforniaSan DiegoLa JollaUSA
  2. 2.Department of StatisticsStanford UniversityStanfordUSA
  3. 3.Departamento de Estadistica y EconometriaUniversidad Carlos III de MadridGetafeSpain

Bibliographic information

  • Book Title Subsampling
  • Authors Dimitris N. Politis
    Joseph P. Romano
    Michael Wolf
  • Series Title Springer Series in Statistics
  • DOI https://doi.org/10.1007/978-1-4612-1554-7
  • Copyright Information Springer-Verlag New York 1999
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Hardcover ISBN 978-0-387-98854-2
  • Softcover ISBN 978-1-4612-7190-1
  • eBook ISBN 978-1-4612-1554-7
  • Series ISSN 0172-7397
  • Edition Number 1
  • Number of Pages XV, 348
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Statistical Theory and Methods
  • Buy this book on publisher's site
Industry Sectors
Health & Hospitals
Biotechnology
IT & Software
Telecommunications
Consumer Packaged Goods
Oil, Gas & Geosciences
Pharma
Materials & Steel
Finance, Business & Banking
Electronics
Energy, Utilities & Environment
Aerospace

Reviews

"The book is one of the most comprehensive texts in the subsampling realm and provides a solid background for researchers working in the related areas of statistics."
V.V. Fedorov in "Short Book Reviews", Vol. 21/1, April 2001