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But that in turn has raised the bar around the world, even somewhat in countries where a DNA identification costs a year's salary.
The signal is designed to do not remove the system from its normal operating point, reducing the identification costs.
This difference may be offset by further identification costs for BiGGY agar.
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The parameters of the Gaussian function were chosen either without or with optimization of the identification cost function.
In case study #1 the optimization of a cost criterion combining both a performance cost and a parameter identification cost is discussed.
The identification cost can be measured by either the experiment time, the performance degradation during experimentation due to the added excitation signal, or a combination of both.
Obeying this principle facilitates minimization of a parameter identification cost function which is the sum of long-range (multi-step) prediction error squares instead of the sum of single-step prediction error squares.
In the least costly input design framework, the input is designed such that the identification cost is minimized while meeting desired specifications on the quality of the identified model.
For a given identification cost, this allows us to maximize the probability that an identified model of the system lies in the performance-related region of interest in accordance with the hypothesis test and, therefore, decrease the probability of opting for an erroneous hypothesis.
The steps often followed include choice of the perspective of the cost study, choice of cost categories (unit of analysis), identification of cost items, measuring cost items, valuing cost items, and dealing with uncertainty (3, 6– 8, 15– 15).
For the identification of costs, a division is made into healthcare costs and productivity losses.
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