This applied, self-contained text provides detailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of a
Multivariate statistical process control with industrial applications
โ Scribed by Robert L. Mason, John C. Young
- Publisher
- Society for Industrial and Applied Mathematics; ASA
- Year
- 2002
- Tongue
- English
- Leaves
- 277
- Series
- ASA-SIAM series on statistics and applied probability
- Edition
- 1st
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
This applied, self-contained text provides detailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of a
<p>The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike.ย Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and
<p>The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike.ย Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and