Weibull.Plot.Quantiles

Quantiles for the Weibullness Test. They are obtained 
from the sample correlation from the Weibull plot. 
The number of Monte Carlo iterations is 1E08.Data set representing the quantiles and the associated critical values for the Weibullness
test. They were obtained by conducting Monte Carlo simulations where the
sample correlation coefficients were calculated based on the Weibull plot. 
We used 1.0E08 Monte Carlo iterations in the simulation.

datasets

Weibull plot

Performs a goodness-of-fit test for Weibull distribution (weibullness test) and provides the parameter estimates of the two- and three-parameter Weibull distributions. Note that the threshold parameter is estimated based on the correlation from the Weibull plot. For more details, see <doi:10.23055/ijietap.2017.24.4.2848>, <doi:10.1155/2018/6056975>, and <doi:10.3390/math11143156>. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2022R1A2C1091319, RS-2023-00242528).

Chanseok Park

weibullness

Goodness-of-Fit Test for Weibull Distribution (Weibullness)

Weibull.Plot.Quantiles function

This data frame contains 998 rows and 1001 columns.

Format

Quantiles for the Weibullness Test. They are obtained 
from the sample correlation from the Weibull plot. 
The number of Monte Carlo iterations is 1E08.

Data set representing the quantiles and the associated critical values for the Weibullness
test. They were obtained by conducting Monte Carlo simulations where the
sample correlation coefficients were calculated based on the Weibull plot. 
We used 1.0E08 Monte Carlo iterations in the simulation.

Weibull.Plot.Quantiles: Weibull quantile values

Description

Usage

Arguments

Format

References