Inverse Flexible Weibull Extension Distribution

A. El-Gohary; A. H. El-Bassiouny; M. El-Morshedy

Research 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 - Issue 2

Published: April 2015

Authors: A. El-Gohary, A. H. El-Bassiouny, M. El-Morshedy

10.5120/20127-2211

PDF

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 },
                        year    = { 2015 },
                        volume  = { 115 },
                        number  = { 2 },
                        pages   = { 46-51 },
                        doi     = { 10.5120/20127-2211 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }

                        %0 Journal Article
                        %D 2015
                        %A A. El-Gohary
                        %A A. H. El-Bassiouny
                        %A M. El-Morshedy
                        %T Inverse Flexible Weibull Extension Distribution%T 
                        %J International Journal of Computer Applications
                        %V 115
                        %N 2
                        %P 46-51
                        %R 10.5120/20127-2211
                        %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

No index terms available.

Keywords

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