Model checks under random censorship
Let denote a parametric family of lifetime distributions on the real line. For a given sample of possibly censored data from an unknown distribution function F, we consider the Kaplan-Meier process with estimated parameters. It constitutes the basic tool for checking the hypothesis . Since for testing purposes this process is intractable in practice we propose to transform it to another one from which (asymptotically) distribution-free full model checks are readily available.
Volume (Year): 32 (1997)
Issue (Month): 3 (March)
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- K. Auinger, 1990. "Quasi goodness of fit tests for lifetime distributions," Metrika, Springer, vol. 37(1), pages 97-116, December.
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