In this article, we first introduced the inflated unit Lindley distribution considering zero or/and one inflation scenario and studied its basic distributional and structural properties. Both the distributions are shown to be members of exponential family with full rank. Different parameter estimation methods are discussed and supporting simulation studies to check their efficacy are also presented. Proportion of students passing the high school leaving examination for the schools across the state of Manipur in India for the year 2020 are then modeled using the proposed distributions and compared with the inflated beta distribution to justify its benefits.
翻译:在文章中,我们首先引入了考虑到零或/和一种通货膨胀假设的膨胀的Lindley单元分布,并研究了其基本分布和结构特性。两种分布都显示是指数式全级家庭的成员;讨论不同的参数估计方法,并介绍支持模拟研究以检查其效果;然后采用拟议的分布和与膨胀的贝塔分布进行比较,以证明2020年印度曼尼普尔州高中毕业考试通过的学生比例为2020年印度曼尼普尔州学校毕业考试的模型。