Matches in SemOpenAlex for { <https://semopenalex.org/work/W2997728557> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W2997728557 endingPage "450" @default.
- W2997728557 startingPage "428" @default.
- W2997728557 abstract "Purpose The purpose of this paper is to estimate the multicomponent reliability by assuming the unit-Gompertz (UG) distribution. Both stress and strength are assumed to have an UG distribution with common scale parameter. Design/methodology/approach The reliability of a multicomponent stress–strength system is obtained by the maximum likelihood (MLE) and Bayesian method of estimation. Bayes estimates of system reliability are obtained by using Lindley’s approximation and Metropolis–Hastings (M–H) algorithm methods when all the parameters are unknown. The highest posterior density credible interval is obtained by using M–H algorithm method. Besides, uniformly minimum variance unbiased estimator and exact Bayes estimates of system reliability have been obtained when the common scale parameter is known and the results are compared for both small and large samples. Findings Based on the simulation results, the authors observe that Bayes method provides better estimation results as compared to MLE. Proposed asymptotic and HPD intervals show satisfactory coverage probabilities. However, average length of HPD intervals tends to remain shorter than the corresponding asymptotic interval. Overall the authors have observed that better estimates of the reliability may be achieved when the common scale parameter is known. Originality/value Most of the lifetime distributions used in reliability analysis, such as exponential, Lindley, gamma, lognormal, Weibull and Chen, only exhibit constant, monotonically increasing, decreasing and bathtub-shaped hazard rates. However, in many applications in reliability and survival analysis, the most realistic hazard rates are upside-down bathtub and bathtub-shaped, which are found in the unit-Gompertz distribution. Furthermore, when reliability is measured as percentage or ratio, it is important to have models defined on the unit interval in order to have plausible results. Therefore, the authors have studied the multicomponent stress–strength reliability under the unit-Gompertz distribution by comparing the MLEs, Bayes estimators and UMVUEs." @default.
- W2997728557 created "2020-01-10" @default.
- W2997728557 creator A5040264311 @default.
- W2997728557 creator A5041506245 @default.
- W2997728557 creator A5059362043 @default.
- W2997728557 date "2020-01-03" @default.
- W2997728557 modified "2023-10-14" @default.
- W2997728557 title "Reliability estimation in a multicomponent stress–strength based on unit-Gompertz distribution" @default.
- W2997728557 cites W1530325245 @default.
- W2997728557 cites W1889457810 @default.
- W2997728557 cites W1971278120 @default.
- W2997728557 cites W1973137995 @default.
- W2997728557 cites W1998726217 @default.
- W2997728557 cites W2005865163 @default.
- W2997728557 cites W2019747837 @default.
- W2997728557 cites W2021769813 @default.
- W2997728557 cites W2056760934 @default.
- W2997728557 cites W2086783012 @default.
- W2997728557 cites W2092620658 @default.
- W2997728557 cites W2138309709 @default.
- W2997728557 cites W2163861548 @default.
- W2997728557 cites W2189225871 @default.
- W2997728557 cites W2322713878 @default.
- W2997728557 cites W2550106135 @default.
- W2997728557 cites W2889103695 @default.
- W2997728557 cites W3122896559 @default.
- W2997728557 doi "https://doi.org/10.1108/ijqrm-04-2019-0136" @default.
- W2997728557 hasPublicationYear "2020" @default.
- W2997728557 type Work @default.
- W2997728557 sameAs 2997728557 @default.
- W2997728557 citedByCount "16" @default.
- W2997728557 countsByYear W29977285572020 @default.
- W2997728557 countsByYear W29977285572021 @default.
- W2997728557 countsByYear W29977285572022 @default.
- W2997728557 countsByYear W29977285572023 @default.
- W2997728557 crossrefType "journal-article" @default.
- W2997728557 hasAuthorship W2997728557A5040264311 @default.
- W2997728557 hasAuthorship W2997728557A5041506245 @default.
- W2997728557 hasAuthorship W2997728557A5059362043 @default.
- W2997728557 hasConcept C105795698 @default.
- W2997728557 hasConcept C107673813 @default.
- W2997728557 hasConcept C121332964 @default.
- W2997728557 hasConcept C163258240 @default.
- W2997728557 hasConcept C166957645 @default.
- W2997728557 hasConcept C173291955 @default.
- W2997728557 hasConcept C177769412 @default.
- W2997728557 hasConcept C185429906 @default.
- W2997728557 hasConcept C207201462 @default.
- W2997728557 hasConcept C2777728836 @default.
- W2997728557 hasConcept C28826006 @default.
- W2997728557 hasConcept C33923547 @default.
- W2997728557 hasConcept C43214815 @default.
- W2997728557 hasConcept C55350006 @default.
- W2997728557 hasConcept C62520636 @default.
- W2997728557 hasConcept C68022304 @default.
- W2997728557 hasConcept C91716921 @default.
- W2997728557 hasConcept C95457728 @default.
- W2997728557 hasConceptScore W2997728557C105795698 @default.
- W2997728557 hasConceptScore W2997728557C107673813 @default.
- W2997728557 hasConceptScore W2997728557C121332964 @default.
- W2997728557 hasConceptScore W2997728557C163258240 @default.
- W2997728557 hasConceptScore W2997728557C166957645 @default.
- W2997728557 hasConceptScore W2997728557C173291955 @default.
- W2997728557 hasConceptScore W2997728557C177769412 @default.
- W2997728557 hasConceptScore W2997728557C185429906 @default.
- W2997728557 hasConceptScore W2997728557C207201462 @default.
- W2997728557 hasConceptScore W2997728557C2777728836 @default.
- W2997728557 hasConceptScore W2997728557C28826006 @default.
- W2997728557 hasConceptScore W2997728557C33923547 @default.
- W2997728557 hasConceptScore W2997728557C43214815 @default.
- W2997728557 hasConceptScore W2997728557C55350006 @default.
- W2997728557 hasConceptScore W2997728557C62520636 @default.
- W2997728557 hasConceptScore W2997728557C68022304 @default.
- W2997728557 hasConceptScore W2997728557C91716921 @default.
- W2997728557 hasConceptScore W2997728557C95457728 @default.
- W2997728557 hasIssue "3" @default.
- W2997728557 hasLocation W29977285571 @default.
- W2997728557 hasOpenAccess W2997728557 @default.
- W2997728557 hasPrimaryLocation W29977285571 @default.
- W2997728557 hasRelatedWork W2053533729 @default.
- W2997728557 hasRelatedWork W2102768308 @default.
- W2997728557 hasRelatedWork W2188913044 @default.
- W2997728557 hasRelatedWork W2289676330 @default.
- W2997728557 hasRelatedWork W2529698932 @default.
- W2997728557 hasRelatedWork W2897101367 @default.
- W2997728557 hasRelatedWork W2914556841 @default.
- W2997728557 hasRelatedWork W2997728557 @default.
- W2997728557 hasRelatedWork W3120262869 @default.
- W2997728557 hasRelatedWork W3211566871 @default.
- W2997728557 hasVolume "37" @default.
- W2997728557 isParatext "false" @default.
- W2997728557 isRetracted "false" @default.
- W2997728557 magId "2997728557" @default.
- W2997728557 workType "article" @default.