Sentence examples for efficient estimator from inspiring English sources
These simulations allowed us to select the best method of calculation, obtaining quantitative estimates with acceptable accuracy (comparison with the original simulated landscapes: R2 ranging from 0.986 to 0.997); they also showed that MSA is a more efficient estimator than LIT, generating percentage coverage estimates that are less variable.
Let us assume that the Q-range estimates are obtained independently using an efficient estimator.
In particular, our numerical results demonstrated that Tyler's estimator is an "almost" efficient estimator w.r.t. the CCRB and its estimation accuracy is independent on the value of the shape parameter.
The test involves comparison of results from an efficient estimator (ie, lower sample-to-sample variation in estimates) that does not correct for possible endogeneity of program exposure (random effects is such an estimator) with a less efficient estimator that does correct for the potential endogeneity of program exposure (fixed effects is the classic choice in the longitudinal data setting).
Based on the numerical analysis, we observe that: Regarding the scatter matrix estimation, the robust C-Tyler estimator is an "almost" efficient estimator, even if it is not the most efficient estimator for t-distributed data, in fact when λ increases, the other two estimators achieve better performance.
Note that under weak conditions, the ML estimator is asymptotically an unbiased and efficient estimator [27].
Cheng [4] showed that in unbounded likelihood problems such as estimation of three-parameter gamma, lognormal or Weibull distributions, the MSP estimation method produces consistent and asymptotically efficient estimators.
Also, Cheng [4] showed that in unbounded likelihood problems such as estimation of three-parameters in the Weibull distribution, the MSP estimation method produces consistent and asymptotically efficient estimators.
CRBs provide a useful and optimistic insight about the estimation problem that may help to achieve practical and efficient estimators. .
Calibration techniques in survey sampling, such as generalized regression estimation (GREG), were formalized in the 1990s to produce efficient estimators of linear combinations of study variables, such as totals or means.
(see Kutoyants (2015)) and provides asymptotically efficient estimator-processes begin{array}rcl@ Y_{t,T}^{star}=uleft t,X_{t},vartheta^{star}_{t,T}right),qquad quad Z_{t,T}^{star}=u'_{x}left t,X_{t},vartheta^{star}_{t,T}right) sigma left(X_{t}right) end{array} (8). of the solution (Y t,Z t ) of the BSDE.
