Hypothesis testing for two population means: parametric or non-parametric test?-Reference-Cited by-同舟云学术

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Hypothesis testing for two population means: parametric or non-parametric test?

Published:2019-10-17 Issue:2 Volume:90 Page:252-270
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Tsagris Michail¹²^ORCID,Alenazi Abdulaziz³^ORCID,Verrou Kleio-Maria⁴,Pandis Nikolaos⁵^ORCID

Affiliation:

1. Department of Economics, University of Crete, Rethymnon, Greece

2. Statistical Learning Lab, Institute of Applied and Computational Mathematics, Foundation of Research and Tehchnology Hellas, Herakleion, Greece

3. Department of Mathematics, Northern Border University, Arar, Saudi Arabia

4. Department of Computer Science, University of Crete, Herakleion, Greece

5. Department of Orthodontics and Dentofacial Orthopedics, University of Bern, Bern, Switzerland

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2019.1677659

Reference44 articles.

1. The Nonparametric Behrens-Fisher Problem: Asymptotic Theory and a Small-Sample Approximation

2. Performance of five two-sample location tests for skewed distributions with unequal variances

3. t-tests, non-parametric tests, and large studies—a paradox of statistical practice?

4. Why Welch's test is Type I error robust

5. Mann–Whitney test with empirical likelihood methods for pretest–posttest studies

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