A test statistic with a ranking method based on the Jeffreys divergence measure
From MaRDI portal
Publication:5086356
DOI10.1080/03610918.2019.1649424OpenAlexW2964889580MaRDI QIDQ5086356
Soshi Kawada, Hidetoshi Murakami
Publication date: 5 July 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2019.1649424
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Robust nonparametric tests for the two-sample location problem
- A bi-aspect nonparametric test for the two-sample location problem
- An example of the two-sided Wilcoxon test which is not unbiased
- Goodness-of-fit tests via phi-divergences
- Biased and unbiased two-sided Wilcoxon tests for equal sample sizes
- A simulation study of a new family of test statistics for the Behrens‐Fisher problem
- Axiomatic characterization of the directed divergences and their linear combinations
- Goodness-of-fit test statistics that dominate the Kolmogorov statistics
- The use of generalized tests in medical research
- Asymptotic Efficiency of Nonparametric Tests
- A new test for two-sample location problem based on empirical distribution function
- A non-parametric maximum test for the Behrens–Fisher problem
- Combining thettest and Wilcoxon's rank-sum test
- Testing Statistical Hypotheses
- On the Distribution of the Two-Sample Cramer-von Mises Criterion
This page was built for publication: A test statistic with a ranking method based on the Jeffreys divergence measure