Sentence examples for different variance estimators from inspiring English sources

The issue of finite sample reliability focuses on controlling the size of the score test using (i) different variance estimators in conjunction with standard asymptotic theory, (ii) finite sample corrections obtainable from higher-order asymptotic analysis, and (iii) bootstrap procedures.

For each scenario of intensity pattern (Scenario A or B), the ratio ASE/SDE and the coverage rate for the effects of intensity and duration were similar in Models 2 3 as compared with Model 1 (Table  2 versus Table  1), suggesting that additional adjustment for correlated covariates does not affect the performance of the different variance estimators.

D2 adapt automatically to different between trial variance estimators [ 32] while I2 is linked to the estimator from the DerSimonian-Laird random-effects model.

D2 may vary within the same set of trials when different between trial variance estimators are used in the corresponding random-effects model.

Given the clustered nature of the data (students in different classes), we will compute robust variance estimators for all regression analyses.

Various estimators used in the temporal method have different variance properties, providing some opportunities to trade off precision and accuracy (Jorde and Ryman 2007).

Their variance estimators cannot be derived easily because they involve estimations of the covariances between estimators from different models.

Since the optimal (regression) estimator shares the properties of GREG estimators which are used in the construction of weighted variance estimators, we introduce the weighting procedure also for estimating the variance of the optimal estimator.

Herein, we develop weighted estimators that reflect unequal selection probabilities and differential nonresponse rates, and we derive variance estimators that properly account for the sampling design and the potential relatedness of participants in different sampling units.

Finally, we introduce approximate variance estimators for the point estimators.

Variance estimators for the regression predictor are suggested.