Questionable Claims for Simple Versions of the Bootstrap
Recent years have seen increasing interest in incorporating resampling methods into introductory statistics courses and the high school mathematics curriculum. While the use of permutation tests for data from experiments is a step forward, the use of simple bootstrap methods for sampling situations...
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Taylor & Francis Group
2019-09-01
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| Series: | Journal of Statistics Education |
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| Online Access: | http://dx.doi.org/10.1080/10691898.2019.1669507 |
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doaj-c7a22839b936449a9fbbf82eb0d026d52020-11-24T21:26:49ZengTaylor & Francis GroupJournal of Statistics Education1069-18982019-09-0127320821510.1080/10691898.2019.16695071669507Questionable Claims for Simple Versions of the BootstrapRobert W. Hayden0Wilton, NHRecent years have seen increasing interest in incorporating resampling methods into introductory statistics courses and the high school mathematics curriculum. While the use of permutation tests for data from experiments is a step forward, the use of simple bootstrap methods for sampling situations is more problematical. This article demonstrates via counterexamples that many of the claims made for these simple methods are simply wrong. Their use with beginners can only be justified after their true properties have been fully researched, and their many limitations explained to students. Supplementary materials for this article are available online.http://dx.doi.org/10.1080/10691898.2019.1669507bootstrapcommon coreconfidence intervalresamplingrobustsimulation |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Robert W. Hayden |
| spellingShingle |
Robert W. Hayden Questionable Claims for Simple Versions of the Bootstrap Journal of Statistics Education bootstrap common core confidence interval resampling robust simulation |
| author_facet |
Robert W. Hayden |
| author_sort |
Robert W. Hayden |
| title |
Questionable Claims for Simple Versions of the Bootstrap |
| title_short |
Questionable Claims for Simple Versions of the Bootstrap |
| title_full |
Questionable Claims for Simple Versions of the Bootstrap |
| title_fullStr |
Questionable Claims for Simple Versions of the Bootstrap |
| title_full_unstemmed |
Questionable Claims for Simple Versions of the Bootstrap |
| title_sort |
questionable claims for simple versions of the bootstrap |
| publisher |
Taylor & Francis Group |
| series |
Journal of Statistics Education |
| issn |
1069-1898 |
| publishDate |
2019-09-01 |
| description |
Recent years have seen increasing interest in incorporating resampling methods into introductory statistics courses and the high school mathematics curriculum. While the use of permutation tests for data from experiments is a step forward, the use of simple bootstrap methods for sampling situations is more problematical. This article demonstrates via counterexamples that many of the claims made for these simple methods are simply wrong. Their use with beginners can only be justified after their true properties have been fully researched, and their many limitations explained to students. Supplementary materials for this article are available online. |
| topic |
bootstrap common core confidence interval resampling robust simulation |
| url |
http://dx.doi.org/10.1080/10691898.2019.1669507 |
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AT robertwhayden questionableclaimsforsimpleversionsofthebootstrap |
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