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).
1  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 pseudoobservations \check{y} after using the logarithmic transformation and the Blom's estimators. 
Meryam KRIT
Blom G., Statistical Estimates and Transformed Betavariables. New York: Wiley, 1958.
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