2011
DOI: 10.1016/j.apm.2010.11.054
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Testing behavior of the reversed hazard rate

Abstract: a b s t r a c tThe concept of reversed hazard rate of a random life is defined as the ratio between the life probability density to its distribution function. This concept plays a role in analyzing censored data and is applicable in such areas as Forensic Sciences. In this investigation, we address the question of testing the reversed hazard rate where the null is that the reversed hazard rate is an assigned function while the alternative is that it is decreasing but not equal to the null function. Two approac… Show more

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Cited by 8 publications
(3 citation statements)
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“…. Also referred to by some communities as the failure rate, it is a fundamental quantity within several fields of economics and mathematics and has found a lot of applications in survival analysis [KP02], reliability theory [RH04], pricing [HR09,GPZ21] and even forensic analysis [KAnA11]. For our results, we utilize the integral of the hazard rate, H(x) = x 0 h(x) dx, which we call the cumulative hazard rate of D. In particular, we study distributions in which H is an arbitrary polynomial, subject to being a valid cumulative hazard rate.…”
Section: Our Contributionsmentioning
confidence: 99%
“…. Also referred to by some communities as the failure rate, it is a fundamental quantity within several fields of economics and mathematics and has found a lot of applications in survival analysis [KP02], reliability theory [RH04], pricing [HR09,GPZ21] and even forensic analysis [KAnA11]. For our results, we utilize the integral of the hazard rate, H(x) = x 0 h(x) dx, which we call the cumulative hazard rate of D. In particular, we study distributions in which H is an arbitrary polynomial, subject to being a valid cumulative hazard rate.…”
Section: Our Contributionsmentioning
confidence: 99%
“…The reversed hazard rate condition requires that the density does not increase too rapidly. The condition holds for many commonly considered probability distributions such as uniform, Weibull, gamma, lognormal and exponential distributions (Kayid et al 2011). 19 Furthermore, we assume that Eγ = 0.…”
Section: Incomplete Informationmentioning
confidence: 99%
“…Irrespective of the shape of the hazard rate function, the RHR cannot increase on (0, ∞) , as shown byBlock et al (1998). Testing the behaviour of the RHR is dealt with inKayid et al (2011).…”
mentioning
confidence: 99%