Comparing two populations based on low stochastic structure assumptions

DOI10.1016/0167-7152(95)00186-7zbMath0903.62048OpenAlexW1969259650MaRDI QIDQ1129433

S. H. Smith

Publication date: 16 August 1998

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(95)00186-7

zbMATH Keywords

imprecise probabilitiespredictive inferencefinite exchangeabilityimprecise previsionslow stochastic structure

Mathematics Subject Classification ID

Nonparametric inference (62G99)

Related Items (11)

The ordering of future observations from multiple groups ⋮ On nonparametric predictive inference and objective Bayesianism ⋮ Low structure imprecise predictive inference for Bayes' problem ⋮ Nonparametric predictive utility inference ⋮ Nonparametric predictive inference for diagnostic accuracy ⋮ Nonparametric predictive precedence testing for two groups ⋮ Imprecise predictive selection based on low structure assumptions ⋮ Nonparametric predictive subset selection for proportions ⋮ Nonparametric predictive comparison of lifetime data under progressive censoring ⋮ Nonparametric Predictive Inference for Ordinal Data ⋮ A nonparametric predictive method for queues

Cites Work

• Posterior Distribution of Percentiles: Bayes' Theorem for Sampling from a Population
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