Bootstrap Statistical Inference for the Variance Based on Fuzzy Data
DOI:
https://doi.org/10.17713/ajs.v38i2.266Abstract
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. In this paper we describe a bootstrap method for variance that is designed directly for hypothesis testing in case of fuzzy data based on Yao-Wu signed distance.References
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