gp.test.critical | R Documentation |
Calculates the critical value for the Gumbel goodness-of-fit test
gp.test.critical(alpha, n)
alpha |
the significance level. |
n |
the sample size. |
This function calculates the critical value for the Gumbel Goodness-of-Fit test
which is constructed using the sample correlation from
the associated Gumbel probability plot.
The critical value is then looked up in Gumbel.Plot.Quantiles.
There is print
method for class "gp.test.critical"
.
A list with class "gp.test.critical"
containing the following components:
sample.size |
sample size (missing observations are deleted). |
alpha |
significance level. |
critical.value |
critical value. |
data.name |
a character string giving the name(s) of the data. |
Chanseok Park
Kinnison, R. (1989). Correlation Coefficient Goodness-of-Fit Test for the Extreme-Value Distribution. The American Statistician, 43(2), 98-100.
Vogel, R. M. and C. N. Kroll (1989). Low-Flow Frequency Analysis Using Probability-Plot Correlation Coefficients. Journal of Water Resources Planning and Management, 115, 338-357.
ks.test
for performing the Kolmogorov-Smirnov test
for the goodness of fit test of two samples.
wp.test
for performing the Weibullness test.
shapiro.test
for performing the Shapiro-Wilk test for normality.
# Critical value with alpha (significance level) and n (sample size).
gp.test.critical(alpha=0.01, n=10)
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