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Extreme value regression models: A useful reparameterization for the survival function

Achcar, Jorge Alberto ; Damasceno, Vera Lucia

Journal of applied statistics, 1996-02, Vol.23 (1), p.59-68 [Periódico revisado por pares]

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Título:
Extreme value regression models: A useful reparameterization for the survival function
Autor: Achcar, Jorge Alberto ; Damasceno, Vera Lucia
É parte de: Journal of applied statistics, 1996-02, Vol.23 (1), p.59-68
Descrição: In this paper, we consider some aspects of accurate approximate inferences for the survival function at a specifed time t 0 , considering extreme value regression models using a modified form of reparameterization proposed by Guerrero and Johnson, and exploring a non-normality measure for likelihood functions and posterior densities introduced by Kass and Slate. We illustrate the proposed methodology, considering a lifetime data set with two treatments introduced by Lee.
Editor: Taylor & Francis Group
Idioma: Inglês

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