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Exploring the limits of bootstrap

  • 426 Pages
  • 1.98 MB
  • 9935 Downloads
  • English

Wiley , New York
Estimation theory., Bootstrap (Statistics), Distribution (Probability theory), Sampling (Statistics), Nonparametric statis
Statementedited by Raoul LePage, Lynne Billard.
SeriesWiley series in probability and mathematical statistics.
ContributionsLePage, Raoul, 1938-, Billard, L. 1943-, Institute of Mathematical Statistics.
Classifications
LC ClassificationsQA276.8 .E97 1992
The Physical Object
Pagination426 p. :
ID Numbers
Open LibraryOL1551704M
ISBN 100471536318
LC Control Number91031546

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Raoul LePage is the editor of Exploring the Limits of Bootstrap, published by Wiley. Lynne Billard is an American statistician and professor at the University of Georgia, known for her statistics research, leadership, and advocacy for women in science/5(2). Exploring the Limits of Bootstrap | Wiley Explores the application of bootstrap to problems that place unusual demands on the method.

The bootstrap method, introduced by Bradley Efron inis a nonparametric technique for inferring the distribution of a statistic derived from a sample.

About Raoul Lepage Raoul LePage is the editor of Exploring the Limits of Bootstrap, published by Wiley. Lynne Billard is an American statistician and professor at the University of Georgia, known for her statistics research, leadership, and advocacy for women in science.

Exploring The Limits Of Bootstrap Exploring The Limits Of Bootstrap by Raoul LePage. Download it Exploring The Limits Of Exploring the limits of bootstrap book books also available in PDF, EPUB, and Mobi Format for read it on your Kindle device, PC, phones or tablets. Explores the application of bootstrap to problems that place unusual demands on the method.

Exploring the limits of bootstrap This edition published in by Wiley in New : Exploring the limits of bootstrap. [Raoul LePage; L Billard; Institute of Mathematical Statistics.;] Book, Internet Resource: All Authors / Contributors: Raoul LePage; L Billard; Institute of Mathematical Statistics.

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