Sentence examples for estimator is so from inspiring English sources

However, when we extrapolate a second time, the bias of the resulting estimator is so low that Monte Carlo fluctuations completely obscure it, even with 10 simulations.

A fixed effects least squares estimator is used so that country- and time-effects can be properly dealt with by means of suitable dummies and time trends.

For estimator (#3), the test set is so large that the testing variability negligible.

However, the difference between the DeLong et al. variance estimator and the unbiased one is so tiny that it is not of practical importance, as we will show below.

This might be the case because the unweighted estimator is more efficient, so that the immigration coefficient in the weighted estimation is less precisely estimated.

In addition, the sliding mode estimator is also employed so that not only the system states can be estimated, but also the cost for sensors and the physical size of secondary side can be much reduced.

Our estimator is more complex, so it needs more training frames.

Similarly for the pooled case, where we define For large enough sample sizes the bias of the Burrows estimator is essentially zero, so we may assume we want the fixed point here as well to get the true prevalence.

The kernel estimator is a linear estimate, so begin{array}rcl@text{var}left(,widetilde{f}(x;h)right) &=& frac{1}{Nh^{2}} mathbb{E}left KBig(frac{x_{i}-x}{h}Big right)^{2} &&-frac{x_{i}-x}{h}Big rightmathbb{E}left(Kleft(frac{x_{i}-x}{h}right)right)right)^{2}.

For model-assisted estimation, the variance estimator of the so-called generalized regression estimator is [60].

The robust variance estimator is robust to misspecification of the correlation structure, so SEs, CIs and p values are still correct.