Publication | Open Access
STOCHASTIC COMPARISONS OF PARALLEL SYSTEMS WHEN COMPONENTS HAVE PROPORTIONAL HAZARD RATES
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Citations
13
References
2007
Year
Mathematical ProgrammingEngineeringRare Event EstimationRandom SampleMathematical StatisticParallel MetaheuristicsOperations ResearchReliability EngineeringParallel Complexity TheorySystems EngineeringX NModeling And SimulationParallel ComputingStatisticsParallel Problem SolvingStochastic SystemProbability TheoryComputer ScienceParallel ProcessingParallel ProgrammingStatistical InferenceHazard Rate
Let X 1 , … , X n be independent random variables with X i having survival function F λ i , i = 1, … , n , and let Y 1 , … , Y n be a random sample with common population survival distribution F , where c = ∑ i =1 n λ i / n . Let X n : n and Y n : n denote the lifetimes of the parallel systems consisting of these components, respectively. It is shown that X n : n is greater than Y n : n in terms of likelihood ratio order. It is also proved that the sample range X n : n − X 1: n is larger than Y n : n − Y 1: n according to reverse hazard rate ordering. These two results strengthen and generalize the results in Dykstra, Kochar, and Rojo [6] and Kochar and Rojo [11], respectively.
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