Try:
SCHABENBERGER O & PIERCE FJ (2002) Contemporary statistical models for the plant and soil sciences. CRC Press, Boca Raton, Florida.
They compare theoretical semivariograms between treatments through non linear regression. They use something like to the extra sum of squares. Details on this one on:
RATKOWSKY DA (1983) Nonlinear Regression Modeling: a Unified Practical Approach. M. Dekker, New York.
However, it does not convince me. From my point of view, comparisson of spatial structures through non linear regression is a kind of artifact.
And remember:
“He uses statistics as a drunken man uses lamp-posts... for support rather than illumination." - Andrew Lang
or
"Statistics are like bikinis. What they reveal is suggestive, but what they conceal is vital" - Aaron Levenstein
or
"Torture numbers, and they'll confess to anything" - Gregg Easterbrook
George R Cutter wrote:
Dear ai-geostats Members,
Are there appropriate statistical tests for determining whether empirical variograms are statistically different (maybe something akin to a Kolmogorov-Smirnoff or chi-square test)?
Is there a test for comparing variogram model parameters?
If not, why? If so, what assumptions are required?
Does anyone know of a published reference where such comparisons have been made?
Thank you, Randy Cutter.
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