Article Detail — Pakistan Science Abstracts

Choose Theme

Theme 1 — Green & Gold

No Detail Found!
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
DOI 10.18187/pjsor.v17i1.2963
Published Journal: Pakistan Journal of Statistics and Operation Research, Volume: 17, Issue: 1, Year: 2021
Keywords
Moments Maximum Likelihood Estimation moment generating function McDonald Distribution Erlangtruncated Exponential distribution
References
References are not available for this document.
Citations
Citations are not available for this document.
0

Citations

0

Downloads

74

Views

Copyright ©  PASTIC National Center, Islamabad www.pastic.gov.pk