sampling bias

基本解釋

A grid-based density biased sampling algorithm (G_DBS) was proposed. It got approximate density biased samples through scanning data only one time.
為此提出基于網(wǎng)格的密度偏差抽樣算法，僅需要掃描一遍數(shù)據(jù)集就可以得到近似的密度偏差抽樣。
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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細(xì)管電泳負(fù)壓進(jìn)樣法，并討論了其在芯片毛細(xì)管電泳在線樣品電聚焦富集和高通量分析中的應(yīng)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.
討論多階段抽樣比率估計(jì)及其樣本量選擇的問題，給出了比率估計(jì)抽樣均方誤差的近似公式及其漸近無偏估計(jì)的公式。