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- W1982241343 abstract "Abstract Usually, the parameters of statistical tests are determined by crisp constraints on the probabilities α and β of the errors of type I and of type II, respectively, and by the additional condition that the sample size n is to be selected as small as possible. In this paper this approach is modified; here, statistical tests are proposed to be evaluated by the degree to which certain fuzzy requirements on α, β and n are met. Aggregating these requirements by the minimum-operator a procedure is presented how to determine a test maximizing this ‘degree of satisfaction’. Statistical tests with a continuously distributed test statistic and, in particular, two-sided Gauβ-tests are discussed in more detail." @default.
- W1982241343 created "2016-06-24" @default.
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- W1982241343 date "1995-11-01" @default.
- W1982241343 modified "2023-09-26" @default.
- W1982241343 title "Statistical tests optimally meeting certain fuzzy requirements on the power function and on the sample size" @default.
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- W1982241343 doi "https://doi.org/10.1016/0165-0114(94)00362-b" @default.
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