bonett.test

0th

Percentile

Bonett-Seier test of Geary's kurtosis

This function performs Bonett-Seier test of Geary's measure of kurtosis for normally distributed data.

Keywords
htest
Usage
bonett.test(x, alternative = c("two.sided", "less", "greater"))
Arguments
x
a numeric vector of data values.
alternative
a character string specifying the alternative hypothesis, must be one of '"two.sided"' (default), '"greater"' or '"less"'. You can specify just the initial letter.
Details

Under the hypothesis of normality, data should have Geary's kurtosis equal to sqrt(2/pi) (0.7979). This test has such null hypothesis and is useful to detect a significant difference of Geary's kurtosis in normally distributed data.

Value

A list with class htest containing the following components:
statistic
the list containing Geary's kurtosis estimator and its transformation.
p.value
the p-value for the test.
alternative
a character string describing the alternative hypothesis.
method
a character string indicating what type of test was performed.
data.name
name of the data argument.

References

Bonett, D.G., Seier, E. (2002) A test of normality with high uniform power. Computational Statistics and Data Analysis, 40, 435-445.

See Also

geary

Aliases
  • bonett.test
Examples
set.seed(1234)
x = rnorm(1000)
geary(x)
bonett.test(x)
Documentation reproduced from package moments, version 0.14, License: GPL (>= 2)

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