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Fuzzy Approach of Group Sequential Test for Binomial Case
Author(s) -
Sevil Bacanlı,
Duygu İçen,
Salïh Emri
Publication year - 2014
Publication title -
hacettepe journal of mathematics and statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.312
H-Index - 26
ISSN - 1303-5010
DOI - 10.15672/hjms.201457456
Subject(s) - mathematics , binomial (polynomial) , fuzzy logic , statistics , test (biology) , group (periodic table) , artificial intelligence , computer science , chemistry , organic chemistry , paleontology , biology
The aim of this study is to present the fuzzy statistics into group sequential test when response variable has binomial case. Confidence intervals for fuzzy parameter estimation in group sequential test procedure is applied to construct the related fuzzy test statistic with the help of Buckley’s approach with r-cuts. Afterwards, this present study is completed with a numerical application to real data. Finally it is concluded that the fuzzy approach is also applicable for group sequential tests when response variable has binomial case.

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