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Sunday, July 5, 2020 | History

14 edition of The jackknife, the bootstrap, and other resampling plans found in the catalog.

The jackknife, the bootstrap, and other resampling plans

by Bradley Efron

  • 377 Want to read
  • 20 Currently reading

Published by Society for Industrial and Applied Mathematics in Philadelphia, Pa .
Written in English

    Subjects:
  • Estimation theory,
  • Error analysis (Mathematics),
  • Jackknife (Statistics),
  • Bootstrap (Statistics),
  • Resampling (Statistics)

  • Edition Notes

    Bibliography: p. 91-92.

    StatementBradley Efron.
    SeriesCBMS-NSF Regional conference series in applied mathematics ;, 38
    Classifications
    LC ClassificationsQA276.8 .E375 1982
    The Physical Object
    Paginationvii, 92 p. :
    Number of Pages92
    ID Numbers
    Open LibraryOL3795074M
    ISBN 100898711797
    LC Control Number81084708

    the bootstrap va Download the bootstrap va or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get the bootstrap va book now. This site is like a library, Use search box in the widget to get ebook that you want. Interval estimators can be constructed from the jackknife histogram. Three bootstrap methods are considered. Two are shown to give biased variance estimators and one does not have the bias-robustness property enjoyed by the weighted delete-one jackknife. A general method for resampling residuals is by:

    图书The Jackknife, the Bootstrap, and Other Resampling Plans (CBMS-NSF Regional Conference Series in Applied Mathematics) 介绍、书评、论坛及推荐Author: Bradley Efron. Resampling Statistics. Rationale Much of modern statistics is anchored in the use of statistics and hypothesis tests that only have desirable and well-known properties when computed from populations that are normally distributed. While it is claimed that many such statistics and hypothesis tests are generally robust with respect to non-normality, other approaches that require an empirical.

    The Jackknife, the Bootstrap, and Other Resampling Plans (CBMS-NSF Regional Conference Series in Applied Mathematics) by Efron, Bradley at - ISBN - ISBN - Society for Industrial and Applied Mathematics - - Softcover/5(7). Use of jackknife resampling, or a second, nested bootstrap, can be used if the SE cannot be estimated any other way. The use of the studentized bootstrap is somewhat controversial. To some, the endpoints of the intervals seem too wide and the method seems to be sensitive to outliers [ 13 ].


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The jackknife, the bootstrap, and other resampling plans by Bradley Efron Download PDF EPUB FB2

The occasion was an NSF-sponsored regional conference on resampling methods, admirably organized by Professor Arjun K. Gupta. Professor Gupta and the administration of the Bowling Green Mathematics Department provided a stimulating and comfortable atmosphere for the conference, which included several other talks on jackknife-bootstrap related.

The jackknife and the bootstrap are nonparametric methods for assessing the errors in a statistical estimation problem. They provide several advantages over the traditional parametric approach: the methods are easy to describe and they apply to arbitrarily complicated situations; distribution assumptions, such as normality, are never made.

This monograph connects the jackknife, the. The Jackknife, the Bootstrap, and Other Resampling Plans Bradley Efron The jackknife and the bootstrap are nonparametric methods for assessing the errors in a statistical estimation problem. The Jackknife, the Bootstrap, and Other Resampling Plans (CBMS-NSF Regional Conference Series in Applied Mathematics) [Efron, Bradley] on *FREE* shipping on qualifying offers.

The Jackknife, the Bootstrap, and Other Resampling Plans (CBMS-NSF Regional Conference Series in Applied Mathematics)Cited by: The infinitesimal jackknife turns out to be exactly the same as the ordinary delta method, when the latter applies, and also the same as methods based on the influence function (Hampel ()).

We begin with a brief discussion of resampling procedures, a generic name for all methods which evaluate θ ^ at reweighted versions of the empirical. adshelp[at] The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86A.

The primary aims of this book are (1) to provide a systematic introduction to the theory of the jackknife, the bootstrap, and other resampling methods developed in the last twenty years; (2) to provide a guide for applied statisticians: practitioners often use (or misuse) the resampling methods in situations where no theoretical confirmation.

Other resampling methods are studied in Section 6. The variable jackknife is an extension of the jackknife by allowing different subset sizes. The variance estimator vt, r () is extended to this situation. Two bootstrap methods for variance estimation are considered.

A simple example is given to show that they. Find helpful customer reviews and review ratings for The Jackknife, the Bootstrap, and Other Resampling Plans (CBMS-NSF Regional Conference Series in Applied Mathematics) at Read honest and unbiased product reviews from our users/5. The Jackknife, the Bootstrap, and Other Resampling Plans by Bradley Efron,available at Book Depository with free delivery worldwide/5(7).

ISBN: OCLC Number: Description: vii, 92 pages: illustrations ; 25 cm. Contents: 1. Introduction The jackknife estimate of bias The jackknife estimate of variance Bias of the jackknife variance estimate The bootstrap The infinitesimal jackknife, the delta method and the influence function Cross validation, the jackknife and the.

Get this from a library. The jackknife, the bootstrap, and other resampling plans. [Bradley Efron]. The Jacknife, the Bootstrap, and Other Resampling Plans book. Read reviews from world’s largest community for readers. The jackknife and the bootstrap ar /5.

"Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods". Biometrika. 68 (3): – doi/ JSTOR Efron, Bradley (). The jackknife, the bootstrap, and other resampling plans, In Society of Industrial and Applied Mathematics CBMS-NSF Monographs, $\begingroup$ Do a Google search with key words Efron jackknife bootstrap resampling.

That is how I found it. The link will show up at the top of the list There is a wealth of information on this topic that you can look for on the net. Start with a few. The Jackknife Estimate of Bias; The Jackknife Estimate of Variance; Bias of the Jackknife Variance Estimate; The Bootstrap; The Infinitesimal Jackknife; The Delta Method and the Influence Function; Cross-Validation, Jackknife and Bootstrap; Balanced Repeated Replications (Half-Sampling); Random Subsampling; Nonparametric Confidence Intervals.

article: the bootstrap, the jackknife, and the randomization test. In a sense, Resampling Plans Statistical inference is concerned with assessing stability and bias.

other is a critical value derived from a theoretical sampling distribution defined under the null hypothesis. The hundreds of different hypothesis.

Ebooks list page: ; [PDF] The Jackknife, the Bootstrap, and Other Resampling Plans (CBMS-NSF Regional Conference Series in Applied Mathematics); The Doctrine And Application Of Fluxions, Part 1 (); Panzers In The Balkans And Italy Quarrie (World War 2 Photo Album #19); Advancing the Competitiveness and Efficiency of the U.S.

In statistics, the jackknife is a resampling technique especially useful for variance and bias estimation. The jackknife pre-dates other common resampling methods such as the jackknife estimator of a parameter is found by systematically leaving out each observation from a dataset and calculating the estimate and then finding the average of these calculations.

The Jackknife, the Bootstrap, and Other Resampling Plans (CBMS-NSF Regional Conference Series in Applied Mathematics) Bradley Efron Brad Efron wrote this monograph shortly after the publication of his groundbreaking early papers on bootstrapping. The Jackknife, the Bootstrap and Other Resampling Plans by Bradley Efron.

Philadelphia: Society for Industrial and Applied Mathematics, Wraps, 4to, 92 pages, bibliographic references. Number 38 in the CBMS-NSF Regional Conference Series in Applied Mathematics, by a Stanford University statistics department professor; based on lectures devoted to resampling methods given at Bowling Green.Buy The Jackknife, the Bootstrap, and Other Resampling Plans (CBMS-NSF Regional Conference Series in Applied Mathematics) by Efron, Bradley (ISBN: ) from Amazon's Book Store.

Everyday low prices and free delivery on eligible orders.3/5(1).The jackknife and bootstrap are the most popular data-resampling meth­ ods used in statistical analysis.

The resampling methods replace theoreti­ cal derivations required in applying traditional methods (such as substitu­ tion and linearization) in statistical analysis by repeatedly resampling the original data and making inferences from the resamples.