Generalized Inverse Gamma Distribution and its Application in Reliability

M. E. Mead

Communications in Statistics - Theory and Methods, 2015, vol. 44, issue 7, 1426-1435

Abstract: In this article, we introduce a new reliability model of inverse gamma distribution referred to as the generalized inverse gamma distribution (GIG). A generalization of inverse gamma distribution is defined based on the exact form of generalized gamma function of Kobayashi (1991). This function is useful in many problems of diffraction theory and corrosion problems in new machines. The new distribution has a number of lifetime special sub-models. For this model, some of its statistical properties are studied. The method of maximum likelihood is used for estimating the model parameters and the observed information matrix is derived. We also demonstrate the usefulness of this distribution on a real data set.

Date: 2015
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Citations: View citations in EconPapers (4)

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DOI: 10.1080/03610926.2013.768667

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