RE: CV
From:"Bachman, William"
Subject:RE: [NMusers] CV
Date:Tue, 4 Feb 2003 13:27:29 -0500
The expression for CV is dependent on the parameterization of the error model.
If the error model is proportional, e.g. V = TVV+ TVV*ETA(n) (or the exponential
equivalent, V = TVV * EXP(ETA(n)) )
then the CV = sqrt(omega(n))*100
If the error model is additive, eg. V= TVV+ETA(n),
then the CV becomes CV = sqrt(omega(n))/theta(n) * 100
in both cases omega(n) is the variance of ETA(n) and theta(n) is the population
estimate of the parameter (mean).
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