Transformation of Survival Data to an Extreme Value Distribution

The Box & Cox (1964) family of power transformations is applied to the analysis of survival time data. The main objective is to find a member of this family that adequately transforms the data to an extreme value distribution. Inferences for the transformation parameter are based on the likeliho...

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Veröffentlicht in:	Journal of the Royal Statistical Society. Series D (The Statistician) 1987-01, Vol.36 (2/3), p.229-234
Hauptverfasser:	Achcar, J. A., Bolfarine, H., Pericchi, Luis R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications Estimators Exact sciences and technology Least squares Mathematics Probability and statistics Sciences and techniques of general use Statistics
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	The Box & Cox (1964) family of power transformations is applied to the analysis of survival time data. The main objective is to find a member of this family that adequately transforms the data to an extreme value distribution. Inferences for the transformation parameter are based on the likelihood approach and on the posterior distribution under invariant Jeffreys' priors. The approach can also be used to discriminate among alternative survival models.
ISSN:	0039-0526 1467-9884
DOI:	10.2307/2348516