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The estimator with the smallest variance is found for u = L.
However in many applications, the empirical variance is found to be higher than the value assumed by the Poisson distribution.
The greatest variance is found in the tropical terrestrial regions, which account for nearly half of the global CO2 flux variance.
Factor 3 explained that 10.95 % of the total variance is found to be associated with strong negative loading of SO42− and weak pH.
The maximum variance is found in the eastern Pacific along the equator and along through the South American coast, indicating that the most dominant SST variability is trapped along the eastern equatorial and coastal regions.
The robust result of the first modeling project is that (approximately) 85% of all genetic variance is found within human subpopulations (e.g., Han Chinese or Sami), 10% across subpopulations within a continental region, and only 5% is found across continents (i.e., "Negroid," "Mongoloid," and "Caucasoid," Lewontin 1972 terms).
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A fairly high variance was found in the number of children in a household.
If heterogeneity of variance was found, the variance function (varIdent) was used to model heteroscedasticity to avoid transformations.
In MnB, the majority of variance was found to be between subjects (94%), while in MnP and MnU the majority of variance was found to be within subjects (79% and 99%, respectively), even when controlling for timing of sample.
Subject variance was found to dominate the metabolomics data although the variations in subject age and BMI were very small.
At below-barrier energies, the mass variance was found to increase with decrease in energy for both nuclei.
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