Multivariate Diagnostic Tests: A Review of Different Methods
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Nandini Das
Abstract
There are many instances where the quality of a product is determined by the joint level of several characteristics. Under these types of situations, one wishes to detect quickly any departure from a satisfactory level, while at the same time it is of interest to know which characteristic(s) is(are) responsible for the deviation. The most common and popular solution to the first query is to use a T2 control chart which is an aggregate monitoring function, when the mean vector of the correlated characteristics is the major concern and the normal approximation may be used. However, the answer to the second query is not so easy. The lack of a simple method of selecting the ‘out of control’ variable has made the routine use of T2 control chart impractical so far. This paper provides a review of different techniques available to identify the culprit variable(s), when a T2 control chart gives an out-of-control signal.
© Heldermann Verlag
Articles in the same Issue
- Transient Analysis of Multistage Degraded Systems with Partial Repairs of General Distribution Modeled by Erlang-k Distribution
- A Practical Procedure for Developing p-Charts
- Posterior Distribution and Loss Functions for Parameter Estimation in Weibull Processes
- Combined CUSUM–Shewhart Schemes for Binomial Data
- A Goodness of Fit Approach to NBURFR and NBARFR Classes
- Control Charts for the Log-Logistic Distribution
- Stability Index of Stochastic Processes: The Statistical Process Control Approach
- Multivariate Max-Chart
- An Optimization Methodology for Condition Based Minimal and Major Preventive Maintenance
- Multivariate Diagnostic Tests: A Review of Different Methods
- A Note on the Concept of Independence
Articles in the same Issue
- Transient Analysis of Multistage Degraded Systems with Partial Repairs of General Distribution Modeled by Erlang-k Distribution
- A Practical Procedure for Developing p-Charts
- Posterior Distribution and Loss Functions for Parameter Estimation in Weibull Processes
- Combined CUSUM–Shewhart Schemes for Binomial Data
- A Goodness of Fit Approach to NBURFR and NBARFR Classes
- Control Charts for the Log-Logistic Distribution
- Stability Index of Stochastic Processes: The Statistical Process Control Approach
- Multivariate Max-Chart
- An Optimization Methodology for Condition Based Minimal and Major Preventive Maintenance
- Multivariate Diagnostic Tests: A Review of Different Methods
- A Note on the Concept of Independence
