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Fuzzy statistics: hypothesis testing
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DOI：10.1007/s00500-004-0368-5.png)
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Abstract
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.
Keywords:
statistics
hypothesis testing
fuzzy sets
Journal
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2.5
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1.0W
Citations:
2.1W
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