文章基本信息

标题：On Erlang-Truncated Exponential Distribution: Theory and Application
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作者：Ibrahim Elbatal ; A. Aldukeel
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：1
页码：155-168
DOI：10.18187/pjsor.v17i1.2963
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：In this article, we introduce a new distribution called the McDonald Erlangtruncated exponential distribution. Various structural properties including explicit expressions for the moments, moment generating function, mean deviation of the new distribution are derived. The estimation of the model parameters is performed by maximum likelihood method. The usefulness of the new distribution is illustrated by two real data sets. The new model is much better than other important competitive models in modeling relief times and survival times data sets.KeywordsErlang-truncated Exponential distributionMcDonald distributionmomentsMoment generating functionMaximum Likelihood Estimation. Article DetailsThis work is licensed under a Creative Commons Attribution 4.0 International License.
关键词：Erlang-truncated Exponential distribution; McDonald distribution; moments; Moment generating function; Maximum Likelihood Estimation