ep.test.pvalue: The p-value for the Exponential Goodness-of-Fit Test

In weibullness: Goodness-of-Fit Test for Weibull Distribution (Weibullness)

The p-value for the Exponential Goodness-of-Fit Test

Description

Calculates the p-value for the exponential goodness-of-fit test which is based on the sample correlation from the exponential probability plot.

Usage

ep.test.pvalue(w, n)

Arguments

w	the ANOVA test statistic; w is in (0,1).
n	the sample size.

Details

The p-value for the exponential goodness-of-fit test which is based on the sample correlation from the exponential probability plot. There is print method for class "htest".

Value

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

statistic	the value of the test statistic (sample correlation from the exponential probability plot)
p.value	the p-value for the test.
method	a character string indicating the exponential probability test.

Author(s)

Chanseok Park

References

Shapiro, S. S. and M. B. Wilk (1972). An Analysis of Variance Test for the Exponential Distribution (Complete Samples). Technometrics, 14(2), 355-370.

See Also

ks.test for performing the Kolmogorov-Smirnov test for the goodness of fit test of two samples.
shapiro.test for performing the Shapiro-Wilk test for normality.
wp.test for performing the Weibullness test.

Examples

# p.value with w (ANOVA statistic) and n (sample size).
ep.test.pvalue(w=0.35593, n=7)

weibullness documentation built on May 29, 2024, 1:27 a.m.