AI-GEOSTATS: Unbaisedness

2006-09-14 Thread Digby Millikan
BLUE : “Best Linear Unbiased Estimator”    Best : Minimium error variance.  Linear :   Linear combination of sample values.  Unbiased :  E(Z*-Z) = 0  Estimator:  An estimate    Is unbiasedness a fas? E(Z*-Z) = 0    E(sumwZ(x) – Z) = 0    

AI-GEOSTATS: Variograms

2006-09-14 Thread Digby Millikan
Variograms represent only mean square differences, is this a major shortcoming of geostatistics?

Re: AI-GEOSTATS: Variograms

2006-09-14 Thread Edzer J. Pebesma
Digby Millikan wrote: Variograms represent only mean square differences, is this a major shortcoming of geostatistics? Geostatistics is more than variograms. Search e.g. for multipoint geostatistics. + + To post a message to the list, send it to ai-geostats@jrc.it + To unsubscribe, send ema

Re: AI-GEOSTATS: Unbaisedness

2006-09-14 Thread Isobel Clark
No, average of (Z*-Z) is zero average of (sum wZi - Z i)s zero sum wi times average of Z - average if Z =0 if sum w = 1 then this is true, otherwise not   Says nothing at all about the average of Z.   OK? IsobelDigby Millikan <[EMAIL PROTECTED]> wrote:BLUE : “Best Linear Unbiase

RE: AI-GEOSTATS: Categorical Indicator Simulation with Random Results

2006-09-14 Thread Pierre Goovaerts
Hi Kim, You should expect that the simulated categorical maps are less smooth than the maps of probabilities of occurrence generated by indicator kriging. Nevertheless, the simulated maps should honor the data at sampled locations. You might be doing something wrong, but hard to tell until we hav