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- W204946201 abstract "We consider some consequences of the fact that the joint survivor function of a bivariate random variable (T 1, T 2) is characterized by the collection of univariate survivor functions of the random variables min(λ1 T 1, λ2 T 2 for positive λ1 and λ2. Specifically, we consider the use of data on minima or combinations of minima to estimate the dependence parameter in Hougaard’s positive stable frailty model with known marginals. KeywordsSurvivor FunctionFisher InformationAsymptotic VarianceCumulative Hazard FunctionFailure Time DistributionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W204946201 date "2004-01-01" @default.
- W204946201 modified "2023-09-27" @default.
- W204946201 title "On Characterizing Joint Survivor Functions by Minima" @default.
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- W204946201 doi "https://doi.org/10.1007/978-1-4419-9076-1_7" @default.
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