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For small lags, the variance of the estimates is small, but the estimation is highly biased.
The amount of material involved in these estimates is small, but can be used to generate powerful results.
If the across-session drift in the location-parameter estimates is small in comparison to other noise sources, this second method may be preferable to the first due to the greatly reduced number of parameters.
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The iteration is terminated when the norm of the difference between two successive spatial estimates is smaller than a certain threshold.
Still, even the largest estimates are small by world standards.
[End Page 162] More important, the estimates are small and not robust.
First, we note that the standard errors of the estimates are small which makes the 95percentt confidence interval rather narrow.
The migration estimates were small in both directions, and the 90% HPDs for these parameters overlapped the smallest histogram bin (0.005).
The difference between the estimates was small, but because it was significant, the model would have to take it into account.
A recent analysis demonstrated that the effect of excluding death certificate initiated (DCI) cases on overall survival estimates was small.
Also, for the reference period June through October, changes in effect estimates were small after adjustments for CO and O3.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com