Sentence examples for minimum sampling variance from inspiring English sources
Two key issues are whether equation (3b) yields unbiased estimates of the allele frequency, that is, whether on average, and whether the approach yields estimates with minimum sampling variance.
The efficiency of multiple imputation methods depends on the number of imputed data sets and between two and ten imputations are enough to get the point estimates near their minimum sampling variance on repeated sampling from the population of interest [ 15] but more imputations might be needed if the fraction of missing information is large [ 16].
Here we present a maximum-likelihood (ML) estimator for the frequency of an allele in a pooled sample, taking into account the sampling strategy and factoring out the contribution from sequencing errors in a way that yields unbiased estimates with minimum sampling variance.
Thus, as desirable for a sample statistic, the ML estimator yields asymptotically unbiased and minimum sampling variance estimates with increasing sample sizes and allele frequencies, and the deviations of theory from expectations will decline when the secondary modifications noted in the previous paragraph are implemented.
The minimum achievable sampling variance of the allele frequency is then (6) assuming diploidy (with N being substituted for 2 N with haploidy or completely inbred lines).
We set a minimum coverage depth requirement to reduce the impact of sampling variance on genotype calling and focus primarily on how platform specific differences in allele ratio balance and/or quality.
To minimize the impact of sampling variance on results, valid comparisons were those that had a minimum of 20× coverage.
Moreover, the minimum sampling rate was 120 samples h−1.
Both estimators have the same sampling variance.
These are: sampling variance, split variance, testing set size, and internal variance.
However small the minimum sample spacing, the nugget variance remained high, which indicated the high value of residual, small-scale variability.
