Sentence examples for most efficient estimator from inspiring English sources

In this scenario, since the FB is the ML estimator, then it is, at least asymptotically, the most efficient estimator.

This empirical relationship was the most efficient estimator for up to 20%weightt percent clay content; the most common situation in the sandstone reservoirs.

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 the most efficient estimator for both β and θ is the rank-based estimator with α=5; although, empirical efficiencies are not significantly different from the empirical efficiencies for a few of the nearby (α close to 5) rank-based estimators.

Although total hydrocarbon abundance TAi has a high correlation with compound abundances, there is no a priori reason to assume it to be the most efficient estimator of the latent variable xi.

Random effects Poisson regression provides the most efficient estimator of the effect of reorganization on long-term sickness absence, utilizing both the variation between employees and within employees over time [ 19].

Being asymptotically efficient in the sense that it attains the semiparametric efficiency bound, it is the most efficient two‐step estimator compared to other semiparametric estimators.

Although our estimator was most efficient if the covariance structure was truly specified, it maintained its efficiency even if we misspecified the covariance structure, with a loss of efficiency by misspecification of only around 10%%.

In order to determine which of the three estimators is most efficient, the LM Breusch Pagan test for random effects was employed; this permitted us to choose between OLS estimation of the grouped panel and estimation with random effects.

Ridge Trace and variance inflation factor (VIF) plots were employed to determine the most efficient Ridge k used to bias least-square estimators of model parameters (i.e., coefficients), because increasing values of the Ridge k also superficially inflate the mean square error of the model, which has negative consequence on model diagnostics.

The estimator is related to one of the most efficient energetic methods: the equivalent domain integral method (EDI).