Hello all,
I'm trying to apply the lognormal kriging method to a highly negatively
skewed dataset (data were reflected first). The back_transform formula given
in the reference book takes the following form:
Z(x) = EXP[ EstimatedValue + KrigingVariance/s - *LagrangeMultiplier*]
in which the
Yang
Yes the lagrangian multipier is subtracted, assuming you used the
semi-variogram in your kriging equations. If you use the covariance, it is
added.
The extra terms in the back transform are to correct for the difference between
the variance of the true values and the variance of the
