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Fuzzy statistics: hypothesis testing

delete2004-05-12
delete136
PRE
AI
J
James J. Buckley *
DOI:10.1007/s00500-004-0368-5delete
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摘要

摘要

En 中文
Our method of estimation of parameters in statistics uses a set of confidence intervals producing a triangular shaped fuzzy number for the estimator. Using this fuzzy estimator in hypothesis testing produces a fuzzy test statistic and fuzzy critical values in fuzzy hypothesis testing. We show how these fuzzy sets may be used to derive the usual conclusion of: (1) reject the null hypothesis, or (2) do not reject the null hypothesis.
Keyword:
statistics
hypothesis testing
fuzzy sets

期刊

Soft Computing 封面图
Soft Computing
IF:
2.5
论文数:
1.0W
被引数:
2.1W

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