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

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

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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 languageUndefined
Pages (from-to)1-6
Number of pages6
JournalBiometrics & biostatistics International journal
Issue number5
Publication statusPublished - 7 Oct 2016


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

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