| ep.test.pvalue {weibullness} | R Documentation |
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)