Bivariate Beta–Inverse Weibull Distribution:Theory and Applications
作者机构：Department of StatisticsFaculty of ScienceKing Abdulaziz UniversityJeddahSaudi Arabia
出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)
年 卷 期：2021年第36卷第1期
页 面：83-100页
核心收录：
学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学]
基 金：funded by the Deanship of Scientific Research(DSR) King Abdulaziz University Jeddah under grant number(D-153-130-1441).The author therefore gratefully acknowledge the DSR technical and financial support
主 题：Bivariate beta distribution inverse Weibull distribution conditional moments maximum likelihood estimation
摘 要：Probability distributions have been in use for modeling of random phenomenon in various areas of *** of probability distributions has been the area of interest of several authors in the recent *** situations arise where joint modeling of two random phenomenon is *** such cases the bivariate distributions are *** of the bivariate distributions necessitates certain conditions,in a field where few work has been *** paper deals with a bivariate beta-inverse Weibull *** marginal and conditional distributions from the proposed distribution have been *** for the joint and conditional density functions for the proposed distribution have been *** properties,including product,marginal and conditional moments,joint moment generating function and joint hazard rate function of the proposed bivariate distribution have been *** study for the dependence function has been implemented to see the effect of various parameters on the dependence of *** of the parameters of the proposed bivariate distribution has been done by using the maximum likelihood method of *** and real data application of the distribution are presented.
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