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 Lagrange multiplier is subtracted from the the first 2 items. Is this formula assuming that the Lagrange multiplier value calculated for each block/cell is POSITIVE? All of the Lagrange values I got for my dataset are NEGATIVE. In this case, should the negative Lagrange values be ADDED to the first 2 items? Many thanks for any guidance and happy hollidays Regards, Yang
