In Statistics and Probability Letters 26 (1996),
187-197.
Asymptotic expansions for randomly censored survival data
Janis Hardwick
Statistics Department, University of Michigan
Abstract:
Asymptotic expansions are derived for the posterior distribution of a
data dependent function of the mean of randomly censored survival data.
The main result is a correction term for the transformed variable.
Applications to average and fixed parameter confidence intervals are
discussed.
Keywords: parameter
transformations, posterior distributions, normal likelihood,
confidence intervals, very weak expansion
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