Sentence examples for estimates of standard from inspiring English sources

Exact(59)

And in particular for this sample size, model-assisted sampling in example 2 (the stocking density of Japanese rainforest) stands out from the other results by displaying gross over-estimation of estimates of standard error.

All analyses incorporated sampling weights and the stratified sampling design for unbiased estimation of population parameters and valid estimates of standard errors [ 28, 29].

Robust variance estimators were included to ensure more robust estimates of standard errors.

In contrast, confidence intervals approximated from local estimates of standard deviations are inappropriate due to inherent system nonlinearities.

Hence the estimates of standard errors are accurate even if model standard errors for discharges from the same hospital are correlated.

The time average of these estimates of standard deviation (sigma ) corresponds to the non-polar dark RMS values listed in the last column of Table 1.

This concern is not relevant as far as our results are concerned, as consistent estimates of standard errors for the minimum-wage elasticities are generally not increased by the inclusion of county-specific trends.

Does either SMI or MMI of missing values on background variables lead to unbiased estimates of standard errors of subpopulation proficiency means, the mean subpopulation proficiency difference, and regression coefficients?

Does either SMI or MMI of missing values on background variables lead to unbiased estimates of standard errors of subpopulation proficiency means, the mean subpopulation proficiency difference, and regression coefficients?  .

The initial standard deviation value is set to 0.5, and the iterative calculation is terminated when the difference between two successive estimates of standard deviation is less than a threshold ε.

Since the estimated coefficients from VAR models often appear to lack statistical significance due to the inaccurate estimates of standard errors, researchers often use impulse response functions (IRFs) and forecasting variance decomposition to explain the dynamic effects of the shocks on the endogenous variables.

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