weibull.rm

Calculates the estimates of the shape and scale
parameters.

robust

Weibull plot

parameter estimate

Conducts a goodness-of-fit test for the Weibull distribution (referred to as the weibullness test) and furnishes parameter estimations for both the two-parameter and three-parameter Weibull distributions. Notably, the threshold parameter is derived through correlation from the Weibull plot. Additionally, this package conducts goodness-of-fit assessments for the exponential, Gumbel, and inverse Weibull distributions, accompanied by parameter estimations.
For more details, see Park (2017) <doi:10.23055/ijietap.2017.24.4.2848>,
Park (2018) <doi:10.1155/2018/6056975>, and Park (2023) <doi:10.3390/math11143156>.
This work was supported by the National Research Foundation of Korea (NRF) grants funded by
the Korea government (MSIT) (No. 2022R1A2C1091319, RS-2023-00242528).

Chanseok Park

weibullness

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

weibull.rm function

<dl> <dt>x</dt>
<dd>a numeric vector of observations.</dd> <dt>a</dt>
<dd>the offset fraction to be used; typically in (0,1). See <code>ppoints</code>.</dd></dl>

Arguments

Author

Robust estimate of shape and scale parameters of Weibull using the repeated median method — weibull.rm

<dl>

 <dt>x</dt>
<dd>a numeric vector of observations.</dd>

 <dt>a</dt>
<dd>the offset fraction to be used; typically in (0,1). See <code>ppoints</code>.</dd>

</dl>

weibull.rm: Robust estimate of shape and scale parameters of Weibull using the repeated median method

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples