biased sample

基本解释

A grid-based density biased sampling algorithm (G_DBS) was proposed. It got approximate density biased samples through scanning data only one time.
为此提出基于网格的密度偏差抽样算法，仅需要扫描一遍数据集就可以得到近似的密度偏差抽样。
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Currently, particular interests are focused on achieving high speed, non-biased sampling and on-line sample preconcentration to meet the requirements for analysis of real world samples.
本文首次提出了芯片毛细管电泳负压进样法，并讨论了其在芯片毛细管电泳在线样品电聚焦富集和高通量分析中的应用。
We give the approximation formulas of the variance of the sample ratio estimator for a population mean and its asymptotically non-biased estimator in multi-stage sampling.
讨论多阶段抽样比率估计及其样本量选择的问题，给出了比率估计抽样均方误差的近似公式及其渐近无偏估计的公式。