Order statistics have an important place in probability theory and
statistical inference, especially reliability analysis. It is aimed to compare the dependency structure with some copula families
of min-max copula for the extreme order statistics in this study. Suitability
of Clayton, Frank, Gumbel from Archimedean copula families, Gaussian,
Farlie-Gumbel-Morgenstern and min-max
copula are examined by simulation study. To find the most suitable copula
family, some model selection criteries are used and important inferences are
obtained.
Order statistics have an important place in probability theory and
statistical inference, especially reliability analysis. It is aimed to compare the dependency structure with some copula families
of min-max copula for the extreme order statistics in this study. Suitability
of Clayton, Frank, Gumbel from Archimedean copula families, Gaussian,
Farlie-Gumbel-Morgenstern and min-max
copula are examined by simulation study. To find the most suitable copula
family, some model selection criteries are used and important inferences are
obtained.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Research Article |
Authors | |
Publication Date | December 1, 2019 |
Submission Date | May 8, 2018 |
Published in Issue | Year 2019 |
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