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An experimental design is said to be c-optimal if it minimizes the variance of the best linear unbiased estimator of cTβ, where c is a given vector of coefficients, and β is an unknown vector parameter of the model in consideration.
The HP method minimizes the variance of a series around a parameter that approaches a linear trend [16, 17].
The number of analyzed enterprises operating in the manufacturing industry (N = 39) minimizes the variance and thus confirms this proposition.
The proposal trial distribution is said to be optimal if it minimizes the variance of the important weights [37].
If the form of the underlying error distribution is known, we can obtain an optimal score function which minimizes the variance of the estimator.
We seek λi that minimizes the variance of the error term: min eleft(boldsymbol{uplambda} right) = Varleft[widehat{Z}left({s}_0right -Zleft({s}_0right -Zleft.
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In this paper, a general approach based on "locally penalized" D-optimality (LPD-optimality) is proposed, which simultaneously minimizes the variances of the model parameter estimators.
More precisely, we design the prediction operators by minimizing the variance of the detail coefficients.
The optimum was achieved by minimizing the variance of the estimated fish flux.
These designs minimize the variance of the treatment contrast under certain cost constraints.
More specifically, pointing movements may be planned to minimize the variance of the final hand position.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com