## 2002RE: [ai-geostats] How can I measure the difference between 2 models?

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• Apr 20, 2005

Here’s a slightly different question: It is standard practice to test for significant differences in the parameter coefficient estimates to determine “difference” between alternative models?

Thus, if one or more of the coefficients are significantly different, then the models are deemed different.

This question arises from wanting to test for changes in spatial and/or temporal patterns in image time series.

Cheers, Geoff

|"|"|"|""//*\\""|"|"|"|
Geoffrey M. Henebry, Ph.D., C.S.E.
Collaboratory for Ecological Remote Sensing, Modeling, and Analysis (CERSMA)
Center for Advanced Land Management Information Technologies (CALMIT)
School of Natural Resources
Lincoln, NE 68588-0517 USA
voice: 402-472-6158 (-4608 fax)
email: ghenebry@...
http://calmit.unl.edu/cersma/

From: Digby Millikan [mailto:digbym@...]
Sent: Wednesday, April 20, 2005 2:48 AM
To: ai-geostats; Lee Sung Soo
Subject: Re: [ai-geostats] How can I measure the difference between 2 models?

Is you model 2 or 3 dimensional what about a map of the errors? Also general statisitics

of the populations, e.g. varaiance, coefficient of variation etc. Grade tonnage plot is a good

idea.

Regards Digby

----- Original Message -----

From:

Sent: Thursday, April 14, 2005 4:40 PM

Subject: [ai-geostats] How can I measure the difference between 2 models?

Hello everyone,

I apologize if this question is too elementary for this list;

The problem is how to quantify and represent the difference between
standard model and simulated model. I tried to use a tonnage and
and quantify some risks between models.
But I think there are some limitations to express the variations related to the grade
distribution, although this analysis is popular and common.

For instance, please see below figure.

Standard model(A)
************
*  55        90 *
*                  *
*                  *
*  10        45 *
************

Simulated model(B)
************
*  90        45 *
*                  *
*                  *
*  55       10  *
************

The mean values of two block models show exact same and look very
similar. But the grade distribution is pretty different.
To express the difference and variabilities, some more various ways
are required. How can I measure the difference between 2 models.

Would you give me a advice or ways about quantifying the difference
between two models. And if available, would you introduce me
reference papers or internet site.

Thanks

Best regards,

Lee Sung Soo
Master student(University of WA)

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