Applications of some Exponential Related Distributions

Simple item page
dc.contributor.authorUmar, M. A.
dc.contributor.authorJimoh, J.O.
dc.contributor.authorGarba, Mohammed
dc.contributor.authorAfolayan, Razaq
dc.contributor.authorYahya, Waheed
dc.date.accessioned2021-10-12T11:44:02Z
dc.date.available2021-10-12T11:44:02Z
dc.date.issued2019
dc.description.abstractExponential family of distribution is a very popular family of distribution functions for analyzing any lifetime data with a lot of applications in different fields of knowledge. This family has distribution functions whose survival, hazard and mean residual life functions are simple and easy to study. As a result, this family has been generalized, modified and mixed with other density functions to give more flexible density functions to facilitate better modeling and analysis. This study is carried out to apply some of these distributions to real life datasets from clinical sciences, remission times of a Bladder cancer dataset. The behaviours of these distributions were illustrated graphically. The parameters of the distributions were estimated using the maximum likelihood method and their goodness-of-fits were examined. The distributions were found to provide satisfactory fits to the datasets considered. Exponentiated Exponential and Exponential-Gamma distributions were found to perform better than all the competing distributions.en_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/6594
dc.language.isoenen_US
dc.publisherProceedings of the Professional Statisticians Society of Nigerianen_US
dc.relation.ispartofseriesVol. 3;482 - 487
dc.subjectExponential familyen_US
dc.subjectGammaen_US
dc.subjectWeibullen_US
dc.subjectLindleyen_US
dc.subjectHazard rateen_US
dc.subjectMean residual lifeen_US
dc.subjectGoodness-of-fit.en_US
dc.titleApplications of some Exponential Related Distributionsen_US
dc.typeOtheren_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
P482-487_PSSN-CP-2019 (1).pdf
Size:
449.38 KB
Format:
Adobe Portable Document Format
Description:
Edited Proceeding
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections