Digby
 
The variance of the residuals (whether regression or kriging) is the sum of the squared residuals divided by the degrees of freedom. Since the "degrees of freedom" is a fixed number, minimising the variance is identical to minimising the sum of squared residuals.
 
Isobel

Digby Millikan <[EMAIL PROTECTED]> wrote:
Is minimizing the sum of the square of the the residuals equal to the minimization
of the variance of the residuals? Can we get any intuitive meaning from the relationship
between the sum of the squares and the variance?

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