Open AccessFuzzy sets and statistical criteria
Author(s) -
S.Ye. Bel'kov,
V.I. Ruban
Publication year - 2012
Publication title -
researches in mathematics
Language(s) - English
Resource type - Journals
eISSN - 2664-5009
pISSN - 2664-4991
DOI - 10.15421/241209
Subject(s) - statistical hypothesis testing , mathematics , statistics , fuzzy set , sample (material) , fuzzy logic , statistical theory , set (abstract data type) , artificial intelligence , computer science , chemistry , chromatography , programming language
Statistical criteria to test hypotheses concerning the parameters of the normal distribution give set of parameter values for which the hypothesis is not rejected. In this paper we select values that are more consistent with the sample, using the theory of fuzzy sets.