相关实验视频
Updated: Jan 17, 2026

07:11
Sampling Soils in a Heterogeneous Research Plot
Published on: January 7, 2019
35.8K
一个可变采样间隔运行总和图表用于监测多变量变化系数
Dongmei Cui1,2, Michael B C Khoo2, Sajal Saha3
1School of Business, Hunan International Economics University, Changsha, Hunan, China.
PloS one
|September 23, 2025
概括
新的变量采样间隔运行总和多变量变量系数 (VSI RS MCV) 图表有效地检测数据分散的变化. 这些图表的性能优于现有方法,在多变量质量控制中提供了更好的检测能力.
科学领域:
- 统计过程控制 统计过程控制
- 质量工程 质量工程
- 多变量数据分析 多变量数据分析
背景情况:
- 变化系数 (CV) 衡量了相对数据分散.
- 在II期研究中,多变量变量系数 (MCV) 图表监测CV.
- 现有的MCV和运行总量MCV (RS MCV) 图表在转移检测方面存在局限性.
研究的目的:
- 为了开发新的向上和向下变量采样间隔运行总和多变量变量系数 (VSI RS MCV) 图表.
- 为了增强检测MCV的变化.
- 评估和比较VSI RS MCV图表与现有的MCV和RS MCV图表的性能.
主要方法:
- 开发用于II期监测的VSI RS MCV图表.
- 使用平均信号发送时间 (ATS),信号发送时间标准偏差 (SDTS) 和预期平均信号发送时间 (EATS) 的性能评估.
- 使用马尔科夫链方法在MATLAB中进行优化,以确定最佳图表参数.
主要成果:
- 开发的VSI RS MCV图表在所有班次大小中都显示出卓越的性能.
- 与MCV和RS MCV图表相比,VSI RS MCV图表显示了ATS,SDTS和EATS的改进.与MCV和RS MCV图表相比,VSI RS MCV图表显示了ATS,SDTS和EATS的改进.
- 优化程序成功识别了最小化失控值的参数.
结论:
- 在多变量质量控制中,VSI RS MCV 图表对于检测 MCV 转移非常有效.
- 拟议的图表在检测效率方面比现有方法提供了显著的改进.
- 一个说明性的例子证实了VSI RS MCV图表的实际实施和好处.
相关概念视频
Coefficient of Variation
8.2K
The coefficient of variation measures the dispersion of the data points or distribution around the mean. Using the coefficient of variation, we can compare two data series with drastically different means or different units of measurement. The coefficient of variation for a sample and a population is expressed as a percentage of the ratio of standard deviation to the mean.
The coefficient of variation is a practical statistical tool in finance. It allows investors to assess the volatility or...
The coefficient of variation is a practical statistical tool in finance. It allows investors to assess the volatility or...
8.2K
Variation
7.7K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
7.7K
Interpreting Run Charts
3.0K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
3.0K
Variability: Analysis
448
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
448
One-Way ANOVA: Equal Sample Sizes
4.0K
One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
4.0K
Run Charts
276
Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For...
276

