weibull.wp: Estimate of shape and scale parameters of Weibull using the...

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/weibull.estimate.R

Description

Calculates the estimates of the shape and scale parameters.

Usage

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weibull.wp(x, n, a=0.5)

Arguments

x

a numeric vector of observations.

n

The number of observations is needed if there is right-censoring.

a

the offset fraction to be used; typically in (0,1).

Details

weibull.wp obtains the estimates of the shape and scale parameters using the intercept and slope estimates from the Weibull plot.

Value

An object of class "weibull.estimate", a list with two parameter estimates

Author(s)

Chanseok Park

References

Park, C. (2018). A Note on the Existence of the Location Parameter Estimate of the Three-Parameter Weibull Model Using the Weibull Plot. Mathematical Problems in Engineering, 2018, 1-6.
https://doi.org/10.1155/2018/6056975

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.
http://journals.sfu.ca/ijietap/index.php/ijie/article/view/2848

See Also

weibull.mle for the parameter estimation using the maximum likelihood method.

fitdistr for maximum-likelihood fitting of univariate distributions in package MASS.

Examples

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library(weibullness)

data = c(355,725,884,462,1092,190,166,172,188,224,267,298,355,471,
        154,101,76,811,80,249,752,305,301,386,667,212,186,127,
        121,214,242,237,355,210,253,400,401,514,211,285)
weibull.wp(data)

Example output

 weibullness Package is installed. 


   shape    scale 
1.903461 378.3996 

weibullness documentation built on Aug. 19, 2019, 9:02 a.m.