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  • 标题:On Erlang-Truncated Exponential Distribution: Theory and Application
  • 本地全文:下载
  • 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
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