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MPCI : An R Package for Computing Multivariate Process Capability Indices
| Content Provider | Open Access Library (OALib) |
|---|---|
| Author | Edgar Santos-Fernandez Michele Scagliarini |
| Abstract | Manufacturing processes are often based on more than one quality characteristic. When these variables are correlated the process capability analysis should be performed using multivariate statistical methodologies. Although there is a growing interest in methods for evaluating the capability of multivariate processes, little attention has been given to developing user friendly software for supporting multivariate capability analysis. In this work we introduce the package MPCI for R, which allows to compute multivariateprocess capability indices. MPCI aims to provide a useful tool for dealing with multivariate capability assessment problems. We illustrate the use of MPCI package through both simulated and real examples. |
| ISSN | 15487660 |
| Journal | Journal of Statistical Software |
| Publisher | University of California, Los Angeles |
| Publisher Date | 2012-01-01 |
| Access Restriction | Open |
| Subject Keyword | Principal component analysis Multivariate process capability indices Multivariate normal distribution Statistical quality control |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Statistics, Probability and Uncertainty Software |