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- W3167233239 abstract "The comparison of a power of general goodness-of-fit tests of the Pearson’s, the Kolmogorov-Smirnov’s and of the author of the present paper has been presented.It is shown that for distributions like simular to exponential, the goodness-of-fit test of the author is locally the most powerful. The power of the given criteria for other alternative distributions has been investigated. It is shown that the Kolmogorov- Smirnov criterion in all considered cases is much poorer than the other two general criteria. It has been suggested that only criterion that gives the least value of a significance level of goodness-of-fit tests should be used in practice." @default.
- W3167233239 created "2021-06-22" @default.
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- W3167233239 date "2001-12-01" @default.
- W3167233239 modified "2023-09-26" @default.
- W3167233239 title "Comparison of Power of Some General Goodness-of-Fit Tests" @default.
- W3167233239 hasPublicationYear "2001" @default.
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