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IJASP International Journal of Advanced Statistics and Probability E-ISSN 2307-9045

Finite mixture of gamma distributions and applications

Authors and Affiliations

  • Rekha Radhakrishnan Department of Statistics, Annamalai University, Tamil Nadu, India ORCID ID 0009-0006-0969-5437
  • D Venkatesan Department of Statistics, Annamalai University, Tamil Nadu, India
  • Prasanth C. B Department of Statistics, Sree Kerala Varma College, Kerala, India ORCID ID 0000-0002-6855-9914 https://orcid.org/0000-0002-6855-9914 (unauthenticated)

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Abstract

In this paper a new one parameter probability distribution “Finite Mixture of Gamma Distributions” is suggested from three com-ponent mixture of Exponential (θ), Gamma (4, θ) and Gamma (3,θ) with mixing proportions θ^2/(〖(θ〗^2+6θ+2)),6θ/(〖(θ〗^2+6θ+2)) and 2/(〖(θ〗^2+6θ+2)) respectively. Its first four moments and expressions for skew-ness, kurtosis, and coefficient of variation have been given. Various mathematical and statistical properties of the proposed distribu-tion, including hazard rate function, mean residual life function, and stress strength reliability, have been discussed. Estimation of the parameter has been discussed. The goodness of fit of the distribution has been discussed with two real-life data set and second-ary data. The fit has been compared with one-parameter life time distributions, including Exponential, Lindley, and Chris Jerry distributions.

Keywords

  • Finite Mixture Distributions
  • Estimation of Parameters
  • Hazard Rate Function
  • Kurtosis
  • Moments
  • Mean Residual Life Function

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