Questionable Claims for Simple Versions of the Bootstrap

IF 2.2 Q3 Social Sciences Journal of Statistics Education Pub Date : 2019-09-02 DOI:10.1080/10691898.2019.1669507
Robert W. Hayden
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引用次数: 2

Abstract

Abstract 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.
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对Bootstrap简单版本的可疑声明
摘要近年来,人们对将重新采样方法纳入统计学入门课程和高中数学课程越来越感兴趣。虽然对实验数据使用排列测试是向前迈出的一步,但对采样情况使用简单的自举方法更具问题性。这篇文章通过反例证明,许多针对这些简单方法的说法都是错误的。只有在充分研究了它们的真实特性,并向学生解释了它们的许多局限性后,才能证明它们在初学者中的使用是合理的。本文的补充材料可在线获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Statistics Education
Journal of Statistics Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
1.20
自引率
0.00%
发文量
0
审稿时长
12 weeks
期刊介绍: The "Datasets and Stories" department of the Journal of Statistics Education provides a forum for exchanging interesting datasets and discussing ways they can be used effectively in teaching statistics. This section of JSE is described fully in the article "Datasets and Stories: Introduction and Guidelines" by Robin H. Lock and Tim Arnold (1993). The Journal of Statistics Education maintains a Data Archive that contains the datasets described in "Datasets and Stories" articles, as well as additional datasets useful to statistics teachers. Lock and Arnold (1993) describe several criteria that will be considered before datasets are placed in the JSE Data Archive.
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