Characterizations of bivariate distributions by properties of concomitants of order statistics

2008 ◽  
Vol 78 (18) ◽  
pp. 3350-3354 ◽  
Author(s):  
T.G. Veena ◽  
P. Yageen Thomas
Filomat ◽  
2018 ◽  
Vol 32 (9) ◽  
pp. 3313-3324 ◽  
Author(s):  
H.M. Barakat ◽  
E.M. Nigm ◽  
A.H. Syam

We introduce the Bairamov-Kotz-Becki-Farlie-Gumble-Morgenstern (BKB-FGM) type bivariategeneralized exponential distribution. Some distributional properties of concomitants of order statistics as well as record values for this family are studied. Recurrence relations between the moments of concomitants are obtained, some of these recurrence relations were not publishes before for Morgenstern type bivariate distributions. Moreover, most of the paper results are extended to arbitrary distributions (see Remark 3.1).


Filomat ◽  
2019 ◽  
Vol 33 (13) ◽  
pp. 4239-4250 ◽  
Author(s):  
Jafar Ahmadi ◽  
M. Fashandi

Several characterization results of a symmetric distribution based on concomitants of order statistics as well as k-records from Farlie-Gumbel-Morgenstern (FGM) family of bivariate distributions are established. These include characterizations of a symmetric distribution on the basis of equality in distribution, moments, R?nyi and Tsallis entropies of concomitants of upper and lower order statistics, also in terms of the same properties of concomitants of upper and lower k-records.


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