Title
A winsorized adaptive rank test for location when sampling from asymmetric distributions
DOI
https://doi.org/10.18257/raccefyn.333
Document Type
Article
Publication Date
7-1-2016
Publication Title
Revista de la Academia Colombiana de Ciencias Exactas, Fisicas y Naturales
Abstract
We propose a winsorized adaptive rank test for the location alternative for samples from asymmetric distributions coming from the Generalized Lambda Family. We give a method to calculate the exact conditional distribution, analytic expressions for the asymptotic distribution and for the first two moments of the test statistic. By means of a Monte Carlo study, we show that for various selections of the winsorization parameter, our test is more powerful than the sign test, and than the original test for appropriate choices of the winsorization parameter, from which the proposed test is adapted.
Volume
40
Issue
156
First Page
527
Last Page
532
ISSN
03703908
Recommended Citation
Corzo, Jimmy Antonio and Vergara, Myrian Elena, "A winsorized adaptive rank test for location when sampling from asymmetric distributions" (2016). Scopus Unisalle. 1261.
https://ciencia.lasalle.edu.co/scopus_unisalle/1261
Identifier
85132624917 (Scopus)