Possibilistic decisions and fuzzy statistical tests

Olgierd Hryniewicz

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Possibilistic decisions and fuzzy statistical tests

机译：可能的决策和模糊统计检验

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摘要

The paper deals with the problem of the interpretation of the results of statistical tests in terms of the theory of possibility. The well known concept in statistics of the observed test size p (also known as p-value and significance) has been given a new possibilistic interpretation and generalised for the case of imprecisely defined statistical hypotheses and vague statistical data. The proposed approach allows a practitioner to evaluate the test results using intuitive concepts of possibility, necessity or indifference.

机译：本文从可能性理论的角度处理了统计检验结果的解释问题。统计数据中观察到的测试量p（也称为p值和显着性）中的众所周知的概念已经给出了新的可能解释，并在定义不正确的统计假设和模糊的统计数据的情况下得到了概括。所提出的方法允许从业人员使用可能性，必要性或冷漠的直觉概念来评估测试结果。

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来源
《Fuzzy sets and systems》 |2006年第19期|p.2665-2673|共9页
作者
Olgierd Hryniewicz;
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作者单位

Systems Research Institute, Newelska 6, 01-447 Warsaw, Poland;

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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
statistical decisions; fuzzy statistical tests; possibilistic indices;

机译：统计决策;模糊统计检验;可能性指标;

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Possibilistic decisions and fuzzy statistical tests

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