frozini.exp.test: Frozini test for exponentiality
In exptest: Tests for Exponentiality

Description Usage Arguments Details Value Author(s) References Examples

Performs Frozini test for the composite hypothesis of exponentiality, see e.g. Frozini (1987).

1	frozini.exp.test(x, nrepl=2000)

`x`	a numeric vector of data values.

nrepl

the number of replications in Monte Carlo simulation.

The Frozini test for exponentiality is based on the following statistic:

B_n = \frac{1}{√{n}}∑_{i=1}^n{≤ft| 1 - \exp(-X_{(i)}/\overline{X}) - \frac{i-0.5}{n} \right|}.

The p-value is computed by Monte Carlo simulation.

A list with class "htest" containing the following components:

`statistic`	the value of the Frozini statistic.
`p.value`	the p-value for the test.
`method`	the character string "Frozini test for exponentiality".
`data.name`	a character string giving the name(s) of the data.

Alexey Novikov and Ruslan Pusev

Frozini, B.V. (1987): On the distribution and power of a goodness-of-fit statistic with parametric and nonparametric applications, "Goodness-of-fit". (Ed. by Revesz P., Sarkadi K., Sen P.K.) — Amsterdam-Oxford-New York: North-Holland. — Pp. 133–154.