Dear list, I have estimated local cdfs for a continuous variable using indicator kriging, and would like to go beyond the local variance of the random variable to estimate the standard error of the E-type estimate at each location. Is there a way to calculate this using GSLib programs? Simulation/postsim, perhaps? It doesn't jump out at me from looking at the parameter files. Is there a way to simulate the local mean the way you can calculate the local mean using kt3d?
Alternatively, is there an analytical expression for this knowing the local ccdf? I think the local variance, and the number of datapoints in the local neighborhood as well as their weights should be part of this calculation. Thanks very much! Noémi
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