| BLOMEst {EWGoF} | R Documentation |
Computes the Blom's estimators of the shape and scale parameters of the Weibull distribution from an i.i.d sample x. It also gives the sample \check{y} after using the logarithmic transformation (\check{y}=(\check{shape})\ln(x/\check{scale}), where \check{shape} and \check{scale} are the estimated shape and scale parameters).
BLOMEst(x)
x |
a numeric vector of data values. |
A list containing the following elements:
eta |
the Blom's estimator of the scale parameter of the Weibull distribution (\check{scale}). |
beta |
the Blom's estimator of the shape parameter of the Weibull distribution (\check{shape}). |
y |
the pseudo-observations \check{y} after using the logarithmic transformation and the Blom's estimators. |
Meryam KRIT
Blom G., Statistical Estimates and Transformed Beta-variables. New York: Wiley, 1958.
x <- rweibull(50,2,3) #Value of the Blom's estimator of the scale parameter BLOMEst(x)$eta #Value of the Blom's estimator of the shape parameter BLOMEst(x)$beta