TY - JOUR T1 - A Comparison of Copula Families on Dependence Structure of Extreme Order Statistics TT - A Comparison of Copula Families on Dependence Structure of Extreme Order Statistics AU - Baş Kaman, Ferhan AU - Olmuş, Hülya PY - 2019 DA - December DO - 10.2339/politeknik.421978 JF - Politeknik Dergisi PB - Gazi Üniversitesi WT - DergiPark SN - 2147-9429 SP - 855 EP - 862 VL - 22 IS - 4 LA - en AB - Order statistics have an important place in probability theory andstatistical inference, especially reliability analysis. It is aimed to compare the dependency structure with some copula familiesof min-max copula for the extreme order statistics in this study. Suitabilityof Clayton, Frank, Gumbel from Archimedean copula families, Gaussian,Farlie-Gumbel-Morgenstern and min-maxcopula are examined by simulation study. To find the most suitable copulafamily, some model selection criteries are used and important inferences areobtained. KW - Dependent structure KW - order statistics KW - copula KW - simulation N2 - Order statistics have an important place in probability theory andstatistical inference, especially reliability analysis. It is aimed to compare the dependency structure with some copula familiesof min-max copula for the extreme order statistics in this study. Suitabilityof Clayton, Frank, Gumbel from Archimedean copula families, Gaussian,Farlie-Gumbel-Morgenstern and min-maxcopula are examined by simulation study. To find the most suitable copulafamily, some model selection criteries are used and important inferences areobtained. CR - [1] Li X., Fang R., “Ordering properties of order statistics from random variables of Archimedean copulas with applications”, Journal of Multivariate Analysis, 133:304-320, (2015). CR - [2] Arnold B.C., Balakrishnan N., Nagaraja H.N., “A First Course in Order Statistics”, Vol. 54, John Wiley&Sons, New York, (1992). CR - [3] Balakrishnan N., Rao C. R., “Handbook of Statistics 16: Order Statistics: Theory and Methods”, Elsevier, New York, (1998a). CR - [4] Balakrishnan N., Rao C. R., “Handbook of Statistics 17: Order Statistics: Applications”, Vol. 42, Elsevier, New York, (1998b). CR - [5] David H. A., Nagaraja H. N., “Order Statistics”, Wiley&Sons, Third edition, New Jersey, (2003). CR - [6] Schmitz V., “Revealing the dependence structure between and ”, Journal of Statistical Planning Inference, 123(1):41–47, (2004). CR - [7] Li X., Li Z., “Proof of a conjecture on Spearman’s and Kendall’s for sample minimum and maximum”, Journal of Statistical Planning Inference, 137(1):359–361, (2007). CR - [8] Chen YP., “A note on the relationship between Spearman’s and Kendall’s for extreme order statistics”, Journal of Statistical Planning Inference, 137(7):2165–2171, (2007). CR - [9] Ghalibaf M. B., “Dependent structure of extreme order statistics”, Journal of Statistical Computation and Simulation, 86:2846-2855, (2016). CR - [10] Nelsen R.B., “An Introduction to Copulas, in: Lecture Notes in Statistics” Vol. 139, Springer,New York, (1999). CR - [11] Embrechts P., Lindskog F., McNeil A., “Modeling dependence with copulas and applications to risk management”, In: S.T. Rachev, editor, Handbook of Heavy Tailed Distribution in Finance, JAI Press: Handbooks in Finance, 357-360, (2003). CR - [12] Genest C., Favre A.C., “Everything you always wanted to know about copula modeling but were afraid to ask”, Journal of Hydrologic Engineering,12(4):347-368, (2007). CR - [13] Li D.Q., Tang X.S., Phoon K.K. and Chen Y.F., “Bivariate simulation using copula and its application to probabilistic pile settlement analysis”, International Journal Numerical Analytical Methods Geomechanics, 37:597-617, (2013). CR - [14] Genest C., Rivest L. P.,” Statistical inference procedures for bivariate Archimedean copulas”, Journal of the American Statistical Association, 88 (3): 1034-1043 (1993). CR - [15] Akaike H., “A new look at the statistical model identification”, IEEE Transactions on Automatic Control, 19(6), 716-723, (1974). CR - [16] Schwarz G., “Estimating the dimension of a model”, The annals of Statistics, 6(2), 461-464, (1978). UR - https://doi.org/10.2339/politeknik.421978 L1 - https://dergipark.org.tr/tr/download/article-file/567282 ER -