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Some properties of bivariate Gumbel Type A distributions with proportional hazard rates
Authors:Regina C Elandt-Johnson
Institution:University of North Carolina at Chapel Hill USA
Abstract:We call a set of univariate distributions with the same mathematical form but different parameter values a family J. Consider a bivariate Gumbel Type A survival distribution, S12(x1, x2), defined in (2.1), for which both marginal distributions, S1(x1), S2(x2), belong to the same family, J of distributions. It is proved in this paper that subject to weak conditions, the crude hazard rates, h1(t) and h2(t), are proportional if and only if the marginal hazard rates, λ1(t) and λ2(t), are proportional (Theorem 1). It is also shown that the survival functions of W = min(X1, X2), and of the identified minimum, Wi = Xi, for Xi < Xj, ji, belong to the same family J as do S1(x1), S2(x2) (Corollary 1). Counter-examples of distributions other than Gumbel Type A, for which these properties do not hold, are given. Some applications to the analysis of competing risks, using a family of Gompertz distributions, are discussed.
Keywords:62H10  Survival functions  marginal and crude hazard rates  proportional hazard rates  extreme value distributions  Gompertz distributions
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