Nonparametric tests for the simple tree alternative on both the mean and variance
Author(s): Yehong Nan and Rhonda Magel
Abstract: Two new nonparametric tests are proposed to test
for differences in the location or scale between the control population and at
least one level of the treatment population. The new tests are combinations of
the Hollander Test for Extreme Reaction and the Fligner-Wolfe test. They are
compared on the basis of power under a variety of underlying distributions with
two existing tests proposed by Alsubie and Magel (2020a). It is found that at
least of the new tests has higher powers than the existing tests when there are
differences in location and scale between the control population and the
combined treatment population.
Yehong Nan, Rhonda Magel. Nonparametric tests for the simple tree alternative on both the mean and variance. Int J Stat Appl Math 2025;10(2):107-109. DOI: 10.22271/maths.2025.v10.i2b.1984
