Statistics Seminars: Nonparametric predictive inference for reproducibility of basic nonparametric tests
18 February 2013 14:00 in CM221
Reproducibility of tests is an important characteristic of the practical relevance of test outcomes. Recently, there has been substantial interest in the reproducibility probability (RP), where not only its estimation but also its actual definition and interpretation are not uniquely determined in the classical frequentist statistics framework. Nonparametric predictive inference provides a natural formulation for inferences on RP.
We introduce the NPI approach to RP for some basic nonparametric tests. (Joint work with Sulafah Bin Himd)
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