We introduce a measure for the approximation error g as the deviation from Equation 20. (23) D [0, p ]· D [ L, E ] - D [ L, p ]· D [0, E ] = g The error g(t) quantifies the distance of the diagonal reaction (Equation 21, Figure 5) from equilibrium.
The simplest and perhaps most widely-used notion for measuring this approximation is the notion of Hamming distance [ 9].
The HUI-III is an easy to use, well-validated instrument useful for approximation of scaled, preference-based health utility measures of HRQoL.
We report the Comparative Fit Index (CFI) and the Root Mean Square Error of Approximation (RMSEA) as measures for model fit.
The other side of the coin, though, is an alarming tolerance for approximation.
Methods for approximation were therefore necessary.
Therefore it is natural to seek for approximation methods.
In their place, the measures of uncertainty output by SEATS for its finite-sample estimates are measures for semi-infinite data estimates, used as approximations.
The Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), and the Root Mean Square Error of Approximation (RMSEA) were used as measures for model fit.
A plethora of algorithms and tools for the identification of tandem repeats measuring this approximation have already been released (for instance, see [ 6]-[ 8]).
However, an average measure for the effect of approximation errors cannot reflect their effect on the correctness of the simulation.
