Springer Series in Statistics

Subsampling

Authors: Politis, Dimitris N., Romano, Joseph P., Wolf, Michael

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  • ISBN 978-1-4612-1554-7
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  • ISBN 978-0-387-98854-2
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About this Textbook

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.

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

Table of contents (13 chapters)

  • Bootstrap Sampling Distributions

    Politis, Dimitris N. (et al.)

    Pages 3-38

  • Subsampling in the I.I.D. Case

    Politis, Dimitris N. (et al.)

    Pages 39-64

  • Subsampling for Stationary Time Series

    Politis, Dimitris N. (et al.)

    Pages 65-100

  • Subsampling for Nonstationary Time Series

    Politis, Dimitris N. (et al.)

    Pages 101-119

  • Subsampling for Random Fields

    Politis, Dimitris N. (et al.)

    Pages 120-137

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-1-4612-1554-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $134.00
price for USA
  • ISBN 978-0-387-98854-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $134.00
price for USA
  • ISBN 978-1-4612-7190-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Subsampling
Authors
Series Title
Springer Series in Statistics
Copyright
1999
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4612-1554-7
DOI
10.1007/978-1-4612-1554-7
Hardcover ISBN
978-0-387-98854-2
Softcover ISBN
978-1-4612-7190-1
Series ISSN
0172-7397
Edition Number
1
Number of Pages
XV, 348
Topics