Estimation of stress-strength reliability for the multivariate SGPII distribution

نویسندگانFatemeh Yousefzadeh,Sarah Jomhoori
نشریهCommunications in Statistics - Theory and Methods
شماره صفحات3860-3881
شماره سریال49
شماره مجلد16
ضریب تاثیر (IF)0.311
نوع مقالهFull Paper
تاریخ انتشار2020
رتبه نشریهISI
نوع نشریهچاپی
کشور محل چاپایران
نمایه نشریهJCR،Scopus

چکیده مقاله

n this article, we compute and estimate the stress-strength reliability R=P(A′X + B′Y + C > 0) when X and Y are distributed independently as multivariate skewed generalized Pearson type II (SGPII) distribution, A and B are known constant vectors and C is a known scalar. For this purpose, we obtain the characteristic function of the multivariate SGPII distribution and use it for calculating R. Also, we present the maximum likelihood estimator of R and evaluate the performance of this estimator for varying sample sizes by using a simulation study. Finally, we provide a real data analysis.

لینک ثابت مقاله

tags: Stress-strength reliability, multivariate SGPII distribution, maximum likelihood estimator, characteristic function