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Reseach Article

Inverse Flexible Weibull Extension Distribution

by A. El-gohary, A. H. El-bassiouny, M. El-morshedy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 2
Year of Publication: 2015
Authors: A. El-gohary, A. H. El-bassiouny, M. El-morshedy
10.5120/20127-2211

A. El-gohary, A. H. El-bassiouny, M. El-morshedy . Inverse Flexible Weibull Extension Distribution. International Journal of Computer Applications. 115, 2 ( April 2015), 46-51. DOI=10.5120/20127-2211

@article{ 10.5120/20127-2211,
author = { A. El-gohary, A. H. El-bassiouny, M. El-morshedy },
title = { Inverse Flexible Weibull Extension Distribution },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 2 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 46-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number2/20127-2211/ },
doi = { 10.5120/20127-2211 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:53:41.848810+05:30
%A A. El-gohary
%A A. H. El-bassiouny
%A M. El-morshedy
%T Inverse Flexible Weibull Extension Distribution
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 2
%P 46-51
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a new two parameters model is introduced. We called it the inverse flexible Weibull extension (IFW) distribution. Several properties of this distribution have been discussed. The maximum likelihood estimators of the parameters are derived. Two real data sets are analyzed using the new model, which show that the new model fits the data better than some other very well known models.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Inverse Weibull distribution Hazard function Moments Maximum likelihood estimators Median and mode.