Sentence examples for model estimator from inspiring English sources

Regarding the current leukaemia-free survival estimator and the corresponding Markov model estimator, half of the estimates based on the larger sample size are closer to the true value than 2.2%and2.1%1%, respectively (Table 4).

In order to estimate the coefficients, in this study, the linear model estimator is applied to the channel tap estimates generated by Kalman tracker within training symbols; see Figure 5.

The estimates of Ae. albopictus population size obtained with our model estimator ranged from 298 to 1238 males and 604 to 2208 females per ha, with seasonal variability – higher population size in the humid season.

For this carbon estimation procedure, the portion of uncertainty attributed to the variance of the probability-based estimator of the population mean using the plot-level predictions is usually correctly estimated, but the portion attributed to the variance of the allometric model estimator is usually ignored.

Up until this point, a general sketch of the linear model estimator is outlined.

Hence, the interpolation is established by using a polynomial curve fitting that is based on linear model estimator.

Importantly, adding the mark-recapture abundance estimates to the objective function substantially improved the performance of the H a, s, yr) sub-model in the Stochastic Rates scenario (Figure 3) and also resulted in less biased estimates of mean abundance for both sets of model estimators in all scenarios (Table S1).

Attempts to successfully implement model estimators are often hindered by severe process nonlinearities, complicated state constraints, systematic modeling errors, unmeasurable perturbations, and irregular measurements with possibly abnormal behaviors.

Linear model estimators for product composition are found to perform poorly.

The model estimators described above take aligned sequences as input and select the most appropriate model based on the probability (the likelihood) of the ML tree.

The integrated population model estimators with w = 1 and w = 200 attempt to strike a balance between fitting the harvest data and the mark-recapture point estimates, thus providing a more robust estimate of trend.