文章基本信息

标题：The Discrete Type-II Half-Logistic Exponential Distribution with Applications to COVID-19 Data
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作者：Muhammad Ahsan ul Haq ; Ayesha Babar ; Sharqa Hashmi 等
期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2021
卷号：17
期号：4
页码：921-932
DOI：10.18187/pjsor.v17i4.3772
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：We propose a new two-parameter discrete model, called discrete Type-II half-logistics exponential (DTIIHLE) distribution using the survival discretization approach. The DTIIHLE distribution can be utilized to model COVID-19 data. The model parameters are estimated using the maximum likelihood method. A simulation study is conducted to evaluate the performance of the maximum likelihood estimators. The usefulness of the proposed distribution is evaluated using two real-life COVID-19 data sets. The DTIIHLE distribution provides a superior fit to COVID-19 data as compared with competitive discrete models including the discrete-Pareto, discrete Burr-XII, discrete log-logistic, discrete-Lindley, discrete-Rayleigh, discrete inverse-Rayleigh, and natural discrete-Lindley.
关键词：Discretization;type II half logistics exponential;maximum likelihood estimation;Simulation study;COVID-19