Stress-strength reliability of generalized skewelliptical distributions and its Bayes estimation

نویسندگانFatemeh Yousefzadeh
نشریهCommunications in Statistics Part B: Simulation and Computation
شماره صفحات3471-3486
شماره سریال51
شماره مجلد7
ضریب تاثیر (IF)0.457
نوع مقالهFull Paper
تاریخ انتشار2022
رتبه نشریهISI
نوع نشریهچاپی
کشور محل چاپایران
نمایه نشریهJCR،Scopus

چکیده مقاله

In this paper, we caculate the probability R ¼ PðA0Y1 þ B0Y2 þ C > 0Þ where A 2 Rp1 and B 2 Rp2 are known vectors, C is a known scalar and Y1 2 Rp1 and Y2 2 Rp2 are two independent random vectors that have generalized skew-elliptical distributions. In particular, we derive R for scale mixtures of multivariate skew normal distributions and multivariate skew normal-Cauchy distribution, then, by using some matrix variate distributions, the Bayes estimation of R for the multivariate skew normal distribution is obtained. Finally, a simulation study and a real data analysis are presented.

لینک ثابت مقاله

tags: Generalized skew-elliptical distributions; matrix variate distributions Bayes estimation; multivariate skew normal-Cauchy distribution; scale mixture of multivariate skew normal distributions; stress-strength reliability