On modeling of lifetime data using two-parameter Gamma and Weibull distributions

Rama Shanker; Kamlesh Kumar Shukla; Ravi Shanker; Tekie Asehun Leonida

doi:10.15406/bbij.2016.04.00107

On modeling of lifetime data using two-parameter Gamma and Weibull distributions

Rama Shanker, Kamlesh Kumar Shukla, Ravi Shanker, Tekie Asehun Leonida

Stochastic Operations Research

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

The analysis and modeling of lifetime data are crucial in almost all applied sciences including medicine, insurance, engineering, behavioral sciences and finance, amongst others. The main objective of this paper is to have a comparative study of two-parameter gamma and Weibull distributions for modeling lifetime data from various fields of knowledge. Since exponential distribution is a particular case of both gamma and Weibull distributions and the exponential distribution is a classical distribution for modeling lifetime data, the goodness of fit of both gamma and Weibull distributions are compared with exponential distribution.

Original language	Undefined
Pages (from-to)	1-6
Number of pages	6
Journal	Biometrics & biostatistics International journal
Volume	4
Issue number	5
DOIs	https://doi.org/10.15406/bbij.2016.04.00107
Publication status	Published - 7 Oct 2016

Keywords

EWI-27169
Weibull distribution
Exponential distribution
Gamma distribution
IR-103344
Lifetime data
Estimation of parameter
METIS-321657
Goodness of Fit

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10.15406/bbij.2016.04.00107

2016-XShankerShuklaShankerLeonida_BBIJ-04-00107Final published version, 580 KB

http://dx.doi.org/10.15406/bbij.2016.04.00107

Cite this

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