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Note that under weak conditions, the ML estimator is asymptotically an unbiased and efficient estimator [27].
RBS is an unequal probability selection scheme that is design unbiased and efficient.
Stereology is a body of methods that allow unbiased and efficient estimation of geometric quantities defined in arbitrary physical structures.
Note that, in this case, the sample correlation is the maximum likelihood estimator of its theoretical counterpart and therefore it is consistent and asymptotically unbiased and efficient.
The maximum-likelihood estimator is asymptotically (for a large number of observations or at a high signal-to-noise ratio) unbiased and efficient [14].
ML estimators are asymptotically optimal (unbiased and efficient), i.e., they achieve the best possible performance given by the CRLB for a large number of observations or at high SNR.
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The results of the replication study support the use of digital neuropathological quantification as a relatively accurate, unbiased, quantitative and efficient means of neuropathological assessment.
Unlike Maximum Likelihood (ML) estimation for factor analysis of continuous scores, our use of Muthén's categorical data factor analysis methodology provides asymptotically unbiased, consistent and efficient parameter estimates as well as a correct chi-square test of fit with dichotomous or ordinal observed variables.
Unlike normal-theory maximum likelihood (ML) estimation for factor analysis of continuous scores, our use of Muthén's categorical data factor analysis methodology provides asymptotically unbiased, consistent and efficient parameter estimates, as well as a correct chi-square test of fit with dichotomous or ordinal observed variables [ 26].
This paper develops an improved metamodel method which is unbiased and highly efficient.
If the dependence structure is homogeneous across those groups, a weighted sum of the empirical copulas (or coefficients of correlation) computed from each groups provides an unbiased and asymptotically efficient solution.
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