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On Extended Quadratic Hazard Rate Distribution: Development, Properties, Characterizations and Applications

  • Fiaz Ahmad Bhatti EMAIL logo , G. G. Hamedani , Wenhui Sheng und Munir Ahmad
Veröffentlicht/Copyright: 30. März 2018
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Abstract

In this paper, we propose a flexible extended quadratic hazard rate (EQHR) distribution with increasing, decreasing, bathtub and upside-down bathtub hazard rate function. The EQHR density is arc, right-skewed and symmetrical shaped. This distribution is also obtained from compounding mixture distributions. Stochastic orderings, descriptive measures on the basis of quantiles, order statistics and reliability measures are theoretically established. Characterizations of the EQHR distribution are studied via different techniques. Parameters of the EQHR distribution are estimated using the maximum likelihood method. Goodness of fit of this distribution through different methods is studied.

A Appendix

Theorem A.1.

Let (Ω,F,P) be a given probability space and let H=[a,b] be an interval for some a<b (a=-, b= might as well be allowed). Let X:ΩH be a continuous random variable with distribution function F. Let q be a real function defined on H such that E[q(X)Xx]=η(x), xH, is defined with some real function η. Assume that qC1(H), ηC2(H) and F is a twice continuously differentiable and strictly monotone function on the set H. Finally, assume that the equation η=q has no real solution in the interior of H. Then F is uniquely determined by the functions q and η, particularly

F(x)=axC|η(u)η(u)-q(u)|exp(-s(u))𝑑u,

where the function s is a solution of the differential equation s=ηη-q and C is the normalization constant, such that H𝑑F=1.

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Received: 2018-1-13
Revised: 2018-3-5
Accepted: 2018-3-8
Published Online: 2018-3-30
Published in Print: 2018-6-1

© 2018 Walter de Gruyter GmbH, Berlin/Boston

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