Sentence examples for standard error estimates from inspiring English sources

Replication methods (e.g. bootstrap) could be used to obtain standard error estimates that account for variability in the estimated propensity scores.

Inconsistency of the standard error estimates may be corrected by using heteroskedasticity robust estimators of the variance covariance matrix, such as the Huber/White sandwich estimator [ 20, 21].

Standard error estimates are provided through a bootstrap procedure to prevent possible estimation bias due to heteroskedasticity.

Monte Carlo re-sampling provided standard error estimates that were about 10% lower for systematic sampling.

The standard error estimates of each of these parameters were small.

Second, the contrast and standard error estimates were selected according to the contrast name, re-scaled if needed and combined in a mixed-effects GLM.

This allowed correct standard error estimates to be used to compare dissolution in different media using planned linear contrasts.

Standard error estimates were calculated using a method described in the literature by Cornell, and approximate critical values for t-tests on the model coefficients were investigated.

The results showed that combining the FIA and LTS observations led to the largest and most precise (i.e. smallest percent standard error) estimates of disturbance.

Coefficient and standard error estimates are also compared.

Inferences are qualitatively consistent across the various standard error estimates.