Exact nonparametric meta-analysis for multiple independent doubly Type-II censored samples
Nonparametric inferential methods are discussed for the situation of multiple independent doubly Type-II censored samples. The basic distribution theory for the pooled sample is given assuming that the underlying distribution is continuous and it is demonstrated how the weights in the mixture representations of the pooled order statistics as a mixture of the usual order statistics can be obtained. This is used to construct nonparametric prediction intervals, tolerance intervals for a future sample, and confidence intervals for a population quantile. A small simulation study compares the exact coverage probabilities for population quantiles, to those obtained where the mixture weights are generated by simulation.
meta-analysis doubly type-ii censored sample pooled sample mixtures nonparametric prediction intervals nonparametric confidence intervals nonparametric tolerance intervals