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Model checks under random censorship

✍ Scribed by A. Nikabadze; W. Stute

Publisher: Elsevier Science
Year: 1997
Tongue: English
Weight: 484 KB
Volume: 32
Category: Article
ISSN: 0167-7152
DOI: 10.1016/s0167-7152(96)00081-8

No coin nor oath required. For personal study only.

✦ Synopsis

Let ,~-= {Fo} 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 "F C ~-". 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.

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