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Ageing Intensity Function for Conditionally Specified Models

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dc.contributor.author Sunoj, SM
dc.contributor.author Nair, N Unnikrishnan
dc.contributor.author Nanda, Asok K
dc.contributor.author Rasin, RS
dc.date.accessioned 2022-03-05T07:38:51Z
dc.date.available 2022-03-05T07:38:51Z
dc.date.issued 2020-05-13
dc.identifier.citation S. M. Sunoj, N. Unnikrishnan Nair, Asok K. Nanda & R. S. Rasin (2020) Ageing Intensity Function for Conditionally Specified Models, American Journal of Mathematical and Management Sciences, 39:4, 329-344. en_US
dc.identifier.issn 1966324
dc.identifier.other 10.1080/01966324.2020.1762143
dc.identifier.uri http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/215
dc.description.abstract Jiang et al. have introduced a quantitative measure known as the ageing intensity function for evaluating the ageing properties of a component/system. The present study extends this ageing intensity function to the conditionally specified and conditional survival models. In a two component system, these two conditional ageing intensity functions provide the ageing patterns of one component when the other component has either failed or survived a specified period of time. The proposed conditionally ageing intensity function models provide simple expressions for some commonly used bivariate lifetime models. Characterization relationships are established for bivariate exponential, bivariate Weibull, conditional proportional hazards and bivariate weighted models. en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis Online en_US
dc.subject Bivariate models en_US
dc.subject characterization en_US
dc.subject reliability measures en_US
dc.subject weighted models en_US
dc.title Ageing Intensity Function for Conditionally Specified Models en_US
dc.type Article en_US


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