Tests if two series differ in their distributional scale parameter.
Usage
scaleTest(x, y, method = c("ansari", "mood"),
title = NULL, description = NULL)
Value
an object from class fHTEST
Arguments
x, y
numeric vectors of data values.
method
a character string naming which test should be applied.
title
an optional title string, if not specified the inputs data
name is deparsed.
description
optional description string, or a vector of character strings.
Author
R-core team for hypothesis tests implemented from R's
package ctest.
Details
The method="ansari" performs the Ansari-Bradley two-sample
test for a difference in scale parameters. The test returns for
any sizes of the series x and y the exact p value
together with its asymptotic limit.
The method="mood", is another test which performs a
two-sample test for a difference in scale parameters. The underlying
model is that the two samples are drawn from f(x-l) and
f((x-l)/s)/s, respectively, where l is a common
location parameter and s is a scale parameter. The null
hypothesis is s=1.
References
Conover, W. J. (1971);
Practical nonparametric statistics,
New York: John Wiley & Sons.
Lehmann E.L. (1986);
Testing Statistical Hypotheses,
John Wiley and Sons, New York.
Moore, D.S. (1986);
Tests of the chi-squared type,
In: D'Agostino, R.B. and Stephens, M.A., eds.,
Goodness-of-Fit Techniques, Marcel Dekker, New York.