Bootstrap method for some estimators based on fuzzy data

Wen-Liang Hung

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Bootstrap method for some estimators based on fuzzy data

机译：基于模糊数据的一些估计器的自举方法

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The bootstrap (Efron, Ann. Statit.7 (1979) 1-26) is a simple and straightforward method for calculating approximated biases, standard deviations, confidence intervals, and so forth, in almost any nonparametric estimation problem. In this paper, we consider another example, namely, fuzzy data, and use the bootstrap to answer several questions concerning the minimum inaccuracy estimator (Corral and Gil, Stochastica 8 (1984) 63-81): (a) What is the standard error of this estimator? (b) What is a reasonable confidence interval for such an estimate/ The validity of bootstrap methods is investigated using a real data and computer simulation.

机译：引导程序（Efron，Ann。Statit.7（1979）1-26）是一种用于在几乎任何非参数估计问题中计算近似偏差，标准偏差，置信区间等的简单明了的方法。在本文中，我们考虑另一个示例，即模糊数据，并使用引导程序回答有关最小不准确性估计量的几个问题（Corral和Gil，Stochastica 8（1984）63-81）：（a）标准误差是多少？这个估算器？（b）此类估计的合理置信区间是多少/使用真实数据和计算机模拟研究自举方法的有效性。

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《Fuzzy sets and systems》 |2001年第2期|p.37-341|共305页
作者
Wen-Liang Hung;
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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类模糊数学;
关键词
Bootstrap; Fuzzy data; Minimum inaccuracy estimator;

机译：引导程序模糊数据最小误差估计器;

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Bootstrap method for some estimators based on fuzzy data

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