Testing whether failure rate changes its trend

DOI10.1109/24.9842zbMath0661.62107OpenAlexW2083062489MaRDI QIDQ3810761

Dong Ho Park

Publication date: 1988

Published in: IEEE Transactions on Reliability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/24.9842

zbMATH Keywords

Monte Carlopowerlognormal distributionbathtub-shaped failure rateL-statisticconstant failure ratechange-point of failure rate

Mathematics Subject Classification ID

Reliability and life testing (62N05)

Related Items (14)

On testing whether burn-in is required under the long-run average cost ⋮ On the exact distribution of generalized Hollander-Proschan type statistics ⋮ A review of tests for exponentiality with Monte Carlo comparisons ⋮ On a non-monotonic ageing class based on the failure rate average ⋮ Likelihood ratio tests for continuous monotone hazards with an unknown change point ⋮ Estimation of change point in failure rate models ⋮ A family of tests for trend change in mean residual life ⋮ Testing whether failure rate changes its trend with unknown change points ⋮ Likelihood ratio test for a piecewise continuous Weibull model with an unknown change point ⋮ A Hollander-Proschan type test when ageing is not monotone ⋮ Tests of non-monotonic stochastic aging notions in reliability theory ⋮ Exact and asymptotic tests of exponentiality against nonmonotonic mean time to failure type alternatives ⋮ Detecting trend change in hazard functions -- an \(L\)-statistic approach ⋮ A Test for an Abrupt Change in Weibull Hazard Functions with Staggered Entry and Type I Censoring

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