A New Family of Lifetime Distributions: Theory, Application and Characterizations

Rasool Roozegar (), G. G. Hamedani, Leila Amiri and Fatemeh Esfandiyari
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Rasool Roozegar: Yazd University
G. G. Hamedani: Marquette University
Leila Amiri: University of Manitoba
Fatemeh Esfandiyari: Yazd University

Annals of Data Science, 2020, vol. 7, issue 1, No 8, 109-138

Abstract: Abstract A new class of distributions with increasing, decreasing, bathtub-shaped and unimodal hazard rate forms called generalized quadratic hazard rate-power series distribution is proposed. The new distribution is obtained by compounding the generalized quadratic hazard rate and power series distributions. This class of distributions contains several important distributions appeared in the literature, such as generalized quadratic hazard rate-geometric, -Poisson, -logarithmic, -binomial and -negative binomial distributions as special cases. We provide comprehensive mathematical properties of the new distribution. We obtain closed-form expressions for the density function, cumulative distribution function, survival and hazard rate functions, moments, mean residual life, mean past lifetime, order statistics and moments of order statistics; certain characterizations of the proposed distribution are presented as well. The special distributions are studied in some details. The maximum likelihood method is used to estimate the unknown parameters. We propose to use EM algorithm to compute the maximum likelihood estimators of the unknown parameters. It is observed that the proposed EM algorithm can be implemented very easily in practice. One data set has been analyzed for illustrative purposes. It is observed that the proposed model and the EM algorithm work quite well in practice.

Keywords: Generalized quadratic hazard rate distribution; Order statistics; Power series distribution; Characterizations; 60E05; 60E10; 62F10 (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s40745-019-00216-5

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