Document Type

Article

Publication Date

12-16-2014

Publication Title

Biometrics and Biostatistics International Journal

DOI

10.15406/bbij.2014.01.00015

ISSN

2378-315X

Abstract

In this paper we provide a more efficient nonparametric test of symmetry based on the empirical overlap coefficient using kernel density estimation applied to an extreme order statistics, namely extreme ranked set sampling. Our simulation investigation reveals that our proposed test of symmetry is at least as powerful as currently available tests of symmetry. Intensive simulation is conducted to examine the power of the proposed test. An illustration is provided using cardiac output and body weight of neonates in a neonatal intensive care unit.

Comments

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