weibullness (version 1.24.1)

iwp.test.critical: Critical Value for the inverse Weibullness Test

Description

Calculates the critical value for the inverse Weibullness test

Usage

iwp.test.critical(alpha, n)

Value

A list with class "iwp.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.

Arguments

alpha

the significance level.

n

the sample size.

Author

Chanseok Park

Details

This function calculates the critical value for the inverse Weibullness test which is constructed using the sample correlation from the associated inverse Weibull plot. The critical value is then looked up in IW.Plot.Quantiles. There is print method for class "iwp.test.critical".

References

Park, C. (2017). Weibullness test and parameter estimation of the three-parameter Weibull model using the sample correlation coefficient. International Journal of Industrial Engineering - Theory, Applications and Practice, 24(4), 376-391.
tools:::Rd_expr_doi("10.23055/ijietap.2017.24.4.2848")

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.

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.

Examples

# Critical value with alpha (significance level) and n (sample size).
iwp.test.critical(alpha=0.01, n=10)