A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications
From MaRDI portal
Publication:6585615
DOI10.1080/00031305.2023.2192746MaRDI QIDQ6585615
Publication date: 12 August 2024
Published in: The American Statistician (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Uniformly most powerful Bayesian tests
- Valid \(p\)-values and expectations of \(p\)-values revisited
- Optimal hypothesis testing: From semi to fully Bayes factors
- Methodology and Algorithms of Empirical Likelihood
- The Fisher, Neyman-Pearson Theories of Testing Hypotheses: One Theory or Two?
- P Values for Composite Null Models
- Testing the Mean of Skewed Distributions
- Advances in Statistics - Theory and Applications
- The Two-SampleTTest With One Variance Unknown
- Statistics in the Health Sciences
- Testing Statistical Hypotheses
- Some Principles of the Theory of Testing Hypotheses
- A Characterization of Sufficiency
- A Cheap Trick to Improve the Power of a Conservative Hypothesis Test
- Some Useful Moment Results in Sampling Problems
This page was built for publication: A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6585615)
