抽样变异性仅仅解释了模型估测中整个不确定性的一部分。
Sampling variability explains only a portion of the overall uncertainty in a modelled estimate.
由于抽样变异性和模型选择所引起的不确定性应在展示疾病负担结果的时候予以说明。
The uncertainty owing to both the sampling variability and the choice of model (s) should be given when disease burden results are presented.
贝叶斯模型平均法用来综合各模型的结果并提供一种反映模型选择和抽样变异性的不确定性度量。
Bayesian model averaging was used to combine the results across models and to provide a measure of uncertainty that reflects the choice of model and the sampling variability.
同时研究表明，系统随机整群抽样是进行黄牛群体遗传变异分析的最适抽样方法。
Also the results showed that the Stratified Random ClusterSampling is an adequate sampling method for the genetic variation analysis of yellow cattle population.
影响抽样误差大小有很多因素，如标志变异程度，样本单位数量的多少，抽样方式方法的选择等。
There are many factors that influence the sampling error, such as, extent of mark variation, amount of sample unit and the choice of sampling method, etc.
这个指标描述了由异质性而非抽样误差引起效应变异的百分比。
This describes the percentage of the variability in effect estimates that is due to heterogeneity rather than sampling error (chance).
研究者对抽样误差的影响估计不足，所谓F2株系的小样本抽样，又进一步缩小了株系内变异程度，这就有可能出现假阳性的结果。
Researchers neglected the influence of sampling error, and small samples from F2 populations further reduced the variation. These deficiencies may result in wrong conclusions.
分析表明，总体变异系数较低，总株数较多的样地，有着更好的抽样效果。
It was demonstrated that the lower CV, the larger the number of all trees, the better effectivity this sampling technique had.
分析表明，总体变异系数较低，总株数较多的样地，有着更好的抽样效果。
It was demonstrated that the lower CV, the larger the number of all trees, the better effectivity this sampling technique had.
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