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Critical Comparison of Moving Average and Cumulative Summation Control Charts for Trace Analysis Data

机译:跟踪分析数据的移动平均和累积和控制图的关键比较

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Percentage recovery estimates have been obtained for 15 analytes or surrogates of environmental concern by four commercial laboratories over a two-year period. These quality control analyses were performed using standardized methods on a control soil matrix. Reproducibility of recovery estimates was surprisingly consistent from lab-to-lab, which permitted calculation of performance (Capability) limits based on the mean recovery + or -3 sigma. From a comparison of moving average control charts (N = 2 and N = 3) with cumulative summation charts, the N = 3 moving average charts were considered most suitable for routine lot-to-lot control by contractors. The cumulative summation charts are very useful for situations requiring critical diagnostic analysis of problems. Where duplicate recoveries were obtained with each lot-to-lot variability was similar in magnitude to within-lot variability. To avoid an excessive number of out-of-control responses, control limits should be based on total variability rather than within-lot variability.

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