| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 386073 | Expert Systems with Applications | 2010 | 6 Pages |
Abstract
The bootstrap is a simple and straightforward method for calculating approximated biases, standard deviations, confidence intervals, testing statistical hypotheses, and so forth, in almost any nonparametric estimation problem. A new approach for bootstrap testing fuzzy hypotheses based on fuzzy test statistic is introduced. In this paper we describe bootstrap method that is designed directly for hypothesis testing for fuzzy data based on Yao–Wu signed distance.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Mohammad Ghasem Akbari, Abdolhamid Rezaei,