Hypothesis testing for two population means: parametric or non-parametric test?
From MaRDI portal
Publication:5107707
DOI10.1080/00949655.2019.1677659OpenAlexW2981036400WikidataQ127010868 ScholiaQ127010868MaRDI QIDQ5107707
Nikolaos Pandis, Michail Tsagris, Kleio-Maria Verrou, Abdulaziz Alenazi
Publication date: 28 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1812.11361
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Empirical likelihood ratio confidence regions
- A penalized version of the empirical likelihood ratio for the population mean
- Point estimation with exponentially tilted empirical likelihood
- Empirical likelihood and general estimating equations
- A new method of calibration for the empirical loglikelihood ratio
- Two-sample empirical likelihood method
- Exponential empirical likelihood is not Bartlett correctable
- Calibration of the empirical likelihood method for a vector mean
- Empirical likelihood is Bartlett-correctable
- Empirical likelihood for the two-sample mean problem
- Empirical likelihood methods for two-dimensional shape analysis
- Mann–Whitney test with empirical likelihood methods for pretest–posttest studies
- Adjusted Exponentially Tilted Likelihood with Applications to Brain Morphology
- Methodology and Algorithms of Empirical Likelihood
- Empirical likelihood ratio confidence intervals for a single functional
- Nonparametric standard errors and confidence intervals
- TWO‐SAMPLE NONPARAMETRIC TILTING METHOD
- Simulation Studies on Bootstrap Empirical Likelihood Tests
- Nonparametric hypothesis testing for equality of means on the simplex
- Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators
- On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
- A small sample calibration method for the empirical likelihood ratio
This page was built for publication: Hypothesis testing for two population means: parametric or non-parametric test?