- 224 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
About this book
Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer macros to illustrate basic and advanced quality control methods. This work offers an approach to quality control that relies on statistical tolerance regions, and discusses computer graphic analysis highlightin
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Yes, you can access Multivariate Quality Control by Camil Fuchs,Ron S. Kenett in PDF and/or ePUB format, as well as other popular books in Business & Operations. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Contents
- Preface
- Chapter 1. Quality Control with Multivariate Data
- Chapter 2. The Multivariate Normal Distribution in Quality Control
- Chapter 3. Quality Control with Externally Assigned Targets
- Chapter 4. Quality Control with Internal Targets—Multivariate Process Capability Studies
- Chapter 5. Quality Control with Targets from a Reference Sample
- Chapter 6. Analyzing Data with Multivariate Control Charts
- Chapter 7. Detection of Out-of-Control Characteristics
- Chapter 8. The Statistical Tolerance Regions Approach
- Chapter 9. Multivariate Quality Control with Units in Batches
- Chapter 10. Applications of Principal Components
- Chapter 11. Additional Graphical Techniques for Multivariate Quality Control
- Chapter 12. Implementing Multivariate Quality Control
- Appendix 1. MINITABâ„¢ Macros for Multivariate Quality Control
- Appendix 2. The Data from the Case Studies
- Appendix 3. Review of Matrix Algebra for Statistics with MINITABâ„¢ Computations
- References
- Index