On Modeling of Lifetime Data Using Two-Parameter Gamma and Weibull Distributions | Zendy

Rama Shanker | Zendy

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On Modeling of Lifetime Data Using Two-Parameter Gamma and Weibull Distributions

Author(s) -

Rama Shanker

Publication year - 2016

Publication title -

biometrics and biostatistics international journal

Language(s) - English

Resource type - Journals

ISSN - 2378-315X

DOI - 10.15406/bbij.2016.04.00107

Subject(s) - weibull distribution , molecular cell biology , gamma distribution , computer science , statistics , computational statistics , statistical physics , statistical model , mathematics , physics , biology , microbiology and biotechnology

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.

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