RE: AI-GEOSTATS: Unbaisedness

That’s what I was wondering unbiasedness is based on E(Z*) = the mean,

But we know Z* is not the mean because we are estimating it. I'm sure

it's true, otherwise E(Z*-Z) = 0 would not be published so many books,

however there is not a lot of explanation of this assumption.

pp252 Practical Geostatistics 2000;

" ue = E{g1} - E{T} = u - u = 0 "

My question was how is does E{g1} = u, when we know it's value is g1.

Is this unbiasedness an assumption or a reality? An assumption so that

we only have to minimise, the variance, assuming the error distribution

has a zero mean.

Prof. Dr. K. Gerald v.d. Boogaart

sum_i w_i E[Z(x_i)] - E[Z(x_0)] =0

But how do you get here:

> sumwu - u =0 says all Z(x) =u this is

> not true?

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