Dear All, Could any one tell me the difference between SSerr (Sum of Squares error) differs from other gstat krige.cv cross validation diagnostic measures such as mean error (ME), root of means square error (RMSE) and means square deviation error (MSDR) of residual to kriging variance?
is SSerr appropriate statistics for validating a model? Is SSerr means sum of squares of difference between actual values and predicted values of fitted model? in MSDR, what is difference between residual and kriging variance? formula for computing the kriging variance. Thanks Moshood [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo