A note on the operativeness of Neyman-Pearson tests with fuzzy information

A note on the operativeness of Neyman-Pearson tests with fuzzy information

In a previous paper we have studied the extension of the Neyman-Pearson optimality criterion of testing statistical hypotheses when the available experimental information involves fuzzy imprecision. This extension usually becomes unmanageable for small samples. Nevertheless, we will verify that when...

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Veröffentlicht in:Fuzzy sets and systems 1989-04, Vol.30 (2), p.215-220
Hauptverfasser: CASALS, M. R, ANGELES GIL, M
Format: Artikel
Sprache:eng
Schlagworte:
Decision theory
Exact sciences and technology
Mathematics
Probability and statistics
Sciences and techniques of general use
Statistics
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Zusammenfassung:In a previous paper we have studied the extension of the Neyman-Pearson optimality criterion of testing statistical hypotheses when the available experimental information involves fuzzy imprecision. This extension usually becomes unmanageable for small samples. Nevertheless, we will verify that when the sample size is large enough the application of the Central Limit Theorem determines an operative extension.
ISSN:0165-0114
1872-6801
DOI:10.1016/0165-0114(89)90082-1