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Showing 1 to 20 of 22 for “"CUSUM Chart"”.

  1. Applications of Control Charts in Medicine and Epidemiology

    We consider two applications of control charts in health care. The first involves the comparison of four methods designed to detect an increase in the incidence rate of a rare health event, such as a congenital malformation. A number of methods have been proposed: among these are the Sets method, …

    vt Repository record for Applications of Control Charts in Medicine and Epidemiology (opens in a new tab)

  2. Dynamic Probability Control Limits for Risk-Adjusted Bernoulli Cumulative Sum Charts

    The risk-adjusted Bernoulli cumulative sum (CUSUM) chart developed by Steiner et al. (2000) is an increasingly popular tool for monitoring clinical and surgical performance. In practice, however, use of a fixed control limit for the chart leads to quite variable in-control average run length (ARL) …

    vt Repository record for Dynamic Probability Control Limits for Risk-Adjusted Bernoulli Cumulative Sum Charts (opens in a new tab)

  3. Economic Design of CUSUM Control Charts

    In statistical process control, control charts are one tool for monitoring the control status of a process. One such type of chart is the cumulative sum (CUSUM) chart which has advantages over other styles of control chart. A study of the economic design of CUSUM control charts is undertaken via a …

    ecu Repository record for Economic Design of CUSUM Control Charts (opens in a new tab)

  4. Control charts applying a sequential test at fixed sampling intervals with optional sampling at fixed times

    … years, variable sampling interval (VSI) control charts have been intensively investigated. In contrast to traditional fixed sampling interval (FSI) control charts, VSI charts vary the sampling interval as a function of the data. VSI charts detect many process changes faster than their FSI …

    vt Repository record for Control charts applying a sequential test at fixed sampling intervals with optional sampling at fixed times (opens in a new tab)

  5. Nonparametric procedures for process control when the control value is not specified

    In industrial production processes, control charts have been developed to detect changes in the parameters specifying the quality of the production so that some rectifying action can be taken to restore the parameters to satisfactory values. Examples of the control charts are the Shewhart chart and …

    vt Repository record for Nonparametric procedures for process control when the control value is not specified (opens in a new tab)

  6. Surveillance of Poisson and Multinomial Processes

    … choice for on-going surveillance is the control chart; however, the chart must be constructed in a way that accommodates the situation at hand. Two scenarios involving attribute control charting are investigated here. The first scenario involves Poisson count data where the area of opportunity …

    vt Repository record for Surveillance of Poisson and Multinomial Processes (opens in a new tab)

  7. Economically optimum design of cusum charts when there is a multiplicity of assignable causes

    … is concerned with the design of cumulative sum charts based on a minimum cost criterion when there are multiple assignable causes occurring randomly, but with known effect. A cost model is developed that relates the design parameters (i.e. sampling interval, decision limit, reference value and …

    vt Repository record for Economically optimum design of cusum charts when there is a multiplicity of assignable causes (opens in a new tab)

  8. A statistical process control approach for network intrusion detection

    … for use in future research. A regular batch mean chart was used to remove the sample datas inherent 60-second cycles. However, this proved too slow in detecting a signal because the regular batch mean chart only monitored the statistic at the end of the batch. To gain faster results, a modified …

    gatech Repository record for A statistical process control approach for network intrusion detection (opens in a new tab)

  9. New control charts for monitoring univariate autocorrelated processes and high-dimensional profiles

    … statistical process control (SPC) charts for univariate autocorrelated processes. We introduce two variance estimators---the standardized time series overlapping area estimator and the so-called quick-and-dirty autoregressive estimator---that can be obtained from a training data set …

    gatech Repository record for New control charts for monitoring univariate autocorrelated processes and high-dimensional profiles (opens in a new tab)

  10. Prospective Spatio-Temporal Surveillance Methods for the Detection of Disease Clusters

    … Knox surveillance method uses a cumulative sum (CUSUM) control chart for monitoring the local Knox statistic, which tests for space-time clustering each time there is an incoming observation. The detection of clusters of events occurring close together both temporally and spatially is important …

    vt Repository record for Prospective Spatio-Temporal Surveillance Methods for the Detection of Disease Clusters (opens in a new tab)

  11. EWMA and CUSUM control charts in the presence of correlation

    … average (EWMA) and one-sided cumulative sum (CUSUM) control charts used to monitor the process. The effects of correlation and measurement error on the ARL's of the control charts are studied for a process which is in control and for a process which has undergone a shift in mean level away …

    vt Repository record for EWMA and CUSUM control charts in the presence of correlation (opens in a new tab)

  12. Evaluation of Scan Methods Used in the Monitoring of Public Health Surveillance Data

    … These metrics, in conjunction with control charts such as exponentially weighted moving average (EWMA) charts and cumulative sum (CUSUM) charts, are examined. Two new time-to-signal measures, the average time-between-signal events and the average signal event length, are introduced to better …

    vt Repository record for Evaluation of Scan Methods Used in the Monitoring of Public Health Surveillance Data (opens in a new tab)

  13. Control charts based on residuals for monitoring processes with correlated observations

    … the observations are correlated and control charts for monitoring these processes have recently received much attention. For monitoring the process level, this study evaluates the properties of control charts, such as the EWMA chart and the CUSUM chart, based on the residuals from the …

    vt Repository record for Control charts based on residuals for monitoring processes with correlated observations (opens in a new tab)

  14. Cumulative Sum Control Charts for Censored Reliability Data

    … propose likelihood ratio based cumulative sum (CUSUM) control charts for censored lifetime data with non-normal distributions. We illustrate the development and implementation of the charts, and we evaluate their properties through simulation studies. We address the problem of interval …

    vt Repository record for Cumulative Sum Control Charts for Censored Reliability Data (opens in a new tab)

  15. Control chart procedures based on cumulative gauging scores

    Control charts based on cumulative gauging scores rely on gauge scoring systems used for transforming actual observations into integer gauging scores. In some cases, the gauging scores are easy to obtain by using a mechanical device such as in the go-no-go inspection process. Thus, accurate …

    vt Repository record for Control chart procedures based on cumulative gauging scores (opens in a new tab)

  16. GLR Control Charts for Process Monitoring with Sequential Sampling

    … this dissertation is to investigate GLR control charts based on a sequential sampling scheme (SS GLR charts). Phase II monitoring is considered and the goal is to quickly detect a wide range of changes in the univariate normal process mean parameter and/or the variance parameter. The performance …

    vt Repository record for GLR Control Charts for Process Monitoring with Sequential Sampling (opens in a new tab)

  17. Statistical Methods for Improving and Maintaining Product Reliability

    … and censored make the development of a control charting procedure more demanding. In this dissertation, one-sided lower and upper likelihood ratio based cumulative sum (CUSUM) control charting procedures are developed for right-censored Weibull lifetime data to monitor changes in the scale …

    vt Repository record for Statistical Methods for Improving and Maintaining Product Reliability (opens in a new tab)

  18. The Monitoring of Linear Profiles and the Inertial Properties of Control Charts

    … most effective Phase I linear profile control chart approaches using a simulation study. The advantage of the proposed change point method over the existing methods is greatly improved detection of sustained step changes in the process parameters. Any control chart that combines sample …

    vt Repository record for The Monitoring of Linear Profiles and the Inertial Properties of Control Charts (opens in a new tab)

  19. The Design of GLR Control Charts for Process Monitoring

    Generalized likelihood ratio (GLR) control charts are investigated for two types of statistical process monitoring (SPC) problems. The first part of this dissertation considers the problem of monitoring a normally distributed process variable when a special cause may produce a time varying linear …

    vt Repository record for The Design of GLR Control Charts for Process Monitoring (opens in a new tab)

  20. Variable Sampling Rate Control Charts for Monitoring Process Variance

    … not meet specifications. Statistical control charts for monitoring process variance can be used to detect an increase in the variability of the output of a process so that the situation can be repaired and product uniformity restored. Control charts that increase the sampling rate when there …

    vt Repository record for Variable Sampling Rate Control Charts for Monitoring Process Variance (opens in a new tab)

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