累加和统计分析方法的修改版本

Mohamed S. Khalafalla, K. Cardinal, J. Rueda-Benavides, Mazin Karim
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引用次数: 0

摘要

累积和(CUSUM)是一种方法,用于使用与预定义目标值的偏差的累积和来识别数据趋势中的重大变化。目前的工艺只能依靠目测检测水平趋势的变化。本文提出了一种利用数据变换算法检测上升和下降趋势的改进方法。该算法使检测过程自动化,克服了目视检测的需要。该技术增强并促进了利益攸关方预测大型数据集波动并作出明智决策的能力。
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Modified Version of the Cumulative Sum Statistical Analysis Method
A cumulative sum (CUSUM) is a method used to identify significant changes in data trends using the cumulative sum of deviations from a predefined targeted value. The current process can only detect changes in horizontal trends relying on visual inspection. The paper presents a modified method to detect upward and downward trends using a data transformation algorithm. The algorithm automates the detection process and overcomes the need for visual inspection. The technique enhances and prompts the ability of stakeholders to anticipate fluctuations in large data sets and make informed decisions.
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