JMP 12 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Specialized Models
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13.2 Online Documentation
Quality and Process Methods
• Multivariate Control Charts
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Multivariate Control Charts
Monitor Multiple Process Characteristics Simultaneously
Univariate control charts monitor a single process characteristic, whereas multivariate control charts monitor multiple process characteristics. Independent variables can be charted individually, but if the variables are correlated, a multivariate chart is needed to determine whether the process is in control. Multivariate control charts can detect shifts in the mean or the relationship between several related variables.
Example of a Multivariate Control Chart
Contents
Multivariate Control Chart Overview
Example of a Multivariate Control Chart
Launch the Multivariate Control Chart Platform
The Multivariate Control Chart
Multivariate Control Chart Platform Options
T Square Partitioned
Change Point Detection
Principal Components
Additional Examples of Multivariate Control Charts
Example of Monitoring a Process Using Sub-Grouped Data
Example of T Square Partitioned
Example of Change Point Detection
Statistical Details for Multivariate Control Charts
Statistical Details for Individual Data
Statistical Details for Sub-Grouped Data
Statistical Details for Additivity
Statistical Details for Change Point Detection