other · Wiley StatsRef: Statistics Reference Online · 2014
Resampling Methods
Cited by 0Abstract and details only
Abstract
Abstract This article presents an overview of existing resampling methods and their applications in parameter estimations and statistical inference. It describes the essential concepts and basic operating procedures of the most frequently used resampling methods, including the jackknife, bootstrap, permutation test, and cross‐validation. This article also discusses the interconnections among these methods. Finally, it briefly reviews the currently available software for implementation of the most commonly used resampling procedures.
Cite this paper
Tu, W. (2014). Resampling Methods. Wiley StatsRef: Statistics Reference Online. https://doi.org/10.1002/9781118445112.stat07196
Tu, Wanzhu. “Resampling Methods.” Wiley StatsRef: Statistics Reference Online, 2014, https://doi.org/10.1002/9781118445112.stat07196.
Tu, Wanzhu. 2014. “Resampling Methods.” Wiley StatsRef: Statistics Reference Online. https://doi.org/10.1002/9781118445112.stat07196.
Tu, W. (2014) ‘Resampling Methods’, Wiley StatsRef: Statistics Reference Online. Available at: https://doi.org/10.1002/9781118445112.stat07196.
@misc{tu2014resampling,
title = {{Resampling Methods}},
author = {Tu, Wanzhu},
journal = {Wiley StatsRef: Statistics Reference Online},
year = {2014},
doi = {10.1002/9781118445112.stat07196}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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