Multivariate Extensions of Univariate Life Distributions
A general approach for the development of multivariate survival models, based on a set of given marginal survivals, is presented. Preservation of IFR and IFRA properties and the nature of dependence among the variables are examined, and a recursive relation is suggested to obtain the resultant density function. In particular, an absolutely continuous Weibull distribution is derived and a few of its properties are studied.
Year of publication: |
1998
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Authors: | Roy, Dilip ; Mukherjee, S. P. |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 67.1998, 1, p. 72-79
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Publisher: |
Elsevier |
Keywords: | Characterization modelling marginal distribution joint distribution IFR and IFRA classes Weibull distribution exponential distribution failure rate transform crude hazard rates |
Saved in:
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