Statistical methods in quality control: XI. Statistical tests of significant differences

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Statistical methods in quality control: XI. Statistical tests of significant differences

机译：质量控制中的统计方法：十一。显着差异的统计检验

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Statistical control of repeated operations has been discussed in previous articles of this series. Another problem of common occurrence is the statistical interpretation of limited experimental tests. These tests usually are designed to judge whether or not two comparative conditions provide an actual difference in some quality characteristic.

机译：本系列的前几篇文章讨论了重复操作的统计控制。常见问题的另一个问题是有限的实验测试的统计解释。这些测试通常旨在判断两个比较条件是否在某些质量特性上提供实际差异。

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《Electrical Engineering》 |1946年第10期|466-468|共3页
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Educational activities; Electrical engineering; Gaussian distribution; Process control; Quality control; Standards; Statistical analysis;

机译：教育活动;电气工程;高斯分布;过程控制;质量控制;标准;统计分析;

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2. A New Method for Testing Two Binomial Samples with its Application in Statistical Quality Control [J] . P.V. Krishna Iyer, M. N. Bhattacharyya Defence science journal . 2014,第2期

机译：一种测试两个二项式样本的新方法及其在统计质量控制中的应用
3. Detection of known items in adaptive testing with a statistical quality control method [J] . Wim JJ.Veerkamp, Cees A.W.Glas Quality Control and Applied Statistics . 2001,第6期

机译：统计质量控制方法在自适应测试中检测已知项目
4. Chapter 87 The Application of Statistical Quality Control Methods in Predictive Maintenance 4.0: An Unconventional Use of Statistical Process Control (SPC) Charts in Health Monitoring and Predictive Analytics [C] . Clint Saidy, Kaishu Xia, Anil Kircaliali, International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management . 2020

机译：第87章统计质量控制方法在预测性维护中的应用：健康监测和预测分析中的统计过程控制（SPC）图表的非常规使用
5. Cost reduction and test-quality control for scan-based testing of statistical timing defect. [D] . Chao, Mango Chia-Tso. 2006

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6. Statistical Methods for Establishing Quality Control Ranges for Antibacterial Agents in Clinical and Laboratory Standards Institute Susceptibility Testing [O] . John Turnidge, Gerry Bordash 2007

机译：建立临床和实验室标准研究所药敏试验中抗菌剂质量控制范围的统计方法
7. Figure 10: Outliers plots: (A) boxplot with the results of the best three methods (ENET, FSMKL and SVM-RFE) with and without the outliers. *, Statistically significant difference with a p-value < 2.2 × 10−16 according to a pairwise Wilcoxon test; **, Statistically significant difference according to a non-parametric Friedman test with Iman and Davenport correction with a p-value < 1.92 × 10−41. At the bottom of the panel, a median-based contrast estimation heatmap. In (B) the residues are plotted by coloring each of them according to the category to which the image belongs. [O] . -1

机译：图10：异常值绘图：（a）Boxplot与具有和没有异常值的最佳三种方法（ENET，FSMK1和SVM-RFE）的结果。 *，根据双氟硅酮试验，与p值<2.2×10-16的统计学上有显着差异; **，根据非参数弗里德曼测试的统计学意义差异，具有P值<1.92×10-41的IMAN和DAVENPORT校正。在面板的底部，基于中位的对比度估计热图。在（b）中，通过根据图像所属的类别着色，通过着色它们来绘制残留物。

Statistical methods in quality control: XI. Statistical tests of significant differences

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