Two permutation tests and the Mann-Whitney test: A robustness study;Una exploración de robustez de tres pruebas: Dos de permutación y la de Mann-Whitney

Revista Colombiana de Estadistica

Volumn 30, Issue 2, 2007, Pages 177-185

  Bautista, Fabián ^a   Gómez, Emilse ^a  

^a UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

Author keywords

Generalized lambda distribution; Heteroscedasticity; Nonparametric tests; Simulation

Indexed keywords

EID: 66149124678     PISSN: 01201751     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. Higgins, J. J. (2004), An Introduction to Modern Nonparametric Statistics,Brooks/Cole, Pacific Grove, USA.
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3. Ludbrook, J. & Dudley, H. (1998), 'Why Permutation Tests are Superior to t and F Tests in Biomedical Research', The American Statistician 52(2), 127-132.
4. Neubert, K. & Brunner, E. (2007), 'A Studentized Permutation Test for the Non-parametric Behrens-Fisher Problem', Computational Statistics and Data Analysis 51, 5192-5204.
5. R Development Core Team (2007), R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0. http://www.R-project.org
6. Sortres-Ramos, D. & Castillo-Márquez, L. E. (2000), 'Estimación del nivel de sig- nificancia real de la prueba de Mann-Whitney ante violaciones a los supuestos estándar usando simulación Montecarlo', Agrociencia 34(1), 69-74.
7. Stonehouse, J. M. & Forrester, G. J. (1998), 'Robustness of the t and U Tests Under Combined Assumption Violations', Journal of Applied Statistics 1, 63-74.