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Francisco Aparisi
Daha fazla Francisco Aparisi
ARL simulation of T2 control chart
ARL simulation of T2 control chart-
This application makes a comparison between the use of two Xbar control charts and one multivariate T2 control chart. The user can change the correlation between the two variables and the shift of each variable.The software computes the ARL by simulation and it is possible to see in
Kur
ARL simulator EWMA control chart
ARL simulator EWMA control chart-
This application simulates the ARL of an EWMA control chart for different smoothing and control limits. The 4 available combinations of smoothing and control limits that yield an in-control ARL of 370.The EWMA control chart is one of the tools of statistical process control (SPC) or quality
Kur
ARL Xbar Control Chart
ARL Xbar Control Chart-
This application simulates the Xbar control chart, that is one of the tools of statistical quality control, or statistical process control (SPC). It computes by simulation the ARL for different mean and sigma shifts. Concretely, the shifts are measured by d = (m1 - m0) / sigma0 and by r = s
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XBar control chart with VSS
XBar control chart with VSS-
This application computes the ARL (Average Run Length) of a Xbar control with variable sample size (VSS).In addition, it performs an optimization of the parameters (warning limit, control limits and the two sample sizes) in order to minimize the out-of-control ARL.It draws the ARL cu
Kur
Optimum EWMA control chart
Optimum EWMA control chart-
This application is designed to:1.- To calculate the ARL of a EWMA control chart given its parameters and makes a comparison versus the standard Shewhart (Xbar) control chart.2.- To find the best parameters (optimization) to reach a given in-control ARL and to minimize the out-of-con
Kur
ARL Xbar and S control charts
ARL Xbar and S control charts-
This application simulates the Xbar and S control charts, that are someof the tools of statistical quality control, or statistical process control (SPC). It computes by simulation the ARL for different mean and sigma shifts. Concretely, the shifts are measured by d = (m1 - m0) / sigma0 and
Kur
Gauges for SPC
Gauges for SPC-
This application permits to develop a control chart (statistical process control) to monitor process shifts employing optimized gauges. There are two options to monitor the process: 1.- An YT control chart that plots the number of units in the sample that have been classified by the gauge. 2
Kur
StatSuite (Statistics Suite)
StatSuite (Statistics Suite)-
This Application is a professional statistics suite that permits to use powerful techniques for data analysis.A short video showing the app is available here:https://youtu.be/SayA0oVzzUkStatSuite has the following capabilities:1.- It computes the principal statistics and
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