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On Erlang-Truncated Exponential Distribution: Theory and Application

Author(s)
Elbatal Department of Mathematics and Statistics-College of Science-Imam Mohammad Ibn Saud Islamic University (IMSIU),Saudi Arabia
A. Aldukeel Department of Mathematics and Statistics-College of Science-Imam Mohammad Ibn Saud Islamic University (IMSIU)-,Saudi Arabia
Abstract
In this article, we introduce a new distribution called the McDonald Erlang-truncated 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.
Publication Details
Page(s) 155-168
Published Journal: Pakistan Journal of Statistics and Operation Research, Volume: 17, Issue: 1, Year: 2021

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Keywords
Moments, Maximum Likelihood Estimation, moment generating function, McDonald Distribution, Erlang-truncated Exponential distribution
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