Nonparametric predictive inference for test reproducibility by sampling future data orderings
DOI10.1007/s42519-020-00127-2zbMath1458.62097OpenAlexW3086850877MaRDI QIDQ2223171
Frank P. A. Coolen, Filipe J. Marques
Publication date: 28 January 2021
Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)
Full work available at URL: http://dro.dur.ac.uk/31706/1/31706.pdf
likelihood ratio testnormal distributionexponential familynonparametric predictive inferencelower and upper probabilitiesreproducibility probabilitysampling orderings of future observations
Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics in engineering and industry; control charts (62P30) Order statistics; empirical distribution functions (62G30)
Cites Work
- On stochastic orderings of the Wilcoxon rank sum test statistic-with applications to reproducibility probability estimation testing
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- Reproducibility probability estimation for testing statistical hypotheses
- Interval estimation for a binomial proportion. (With comments and a rejoinder).
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- Introducing nonparametric predictive inference methods for reproducibility of likelihood ratio tests
- Approximations for the likelihood ratio statistic for hypothesis testing between two beta distributions
- Interval estimation for a binomial proportion: a bootstrap approach
- Posterior Distribution of Percentiles: Bayes' Theorem for Sampling from a Population
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