MULTIVARIATE QUALITY CONTROL

Data are naturally multivariate and consist of measurements on various characteristicsf or each observational unitA. n early exampleo f multivariate data is provided byN oah’s Ark for whichth e requirements were: The length of the ark shall be three hundred cubits, the breadth of itJiJky cubits, and the height of it thirty cubits (Genesis 6:15). The ark was a single specimen produced by a craftsman, and statistical quality control procedures were unlikely to have been applifeodr ensuring the conformance to standarodfs t he trivariate data for that product. However, modern industrial processes with mass production are inconceivable without the use of proper statistical quality control procedures

CONTENTS

Preface
1. Quality Control with Multivariate Data
2. The Multivariate Normal Distribution in Quality Control
3. Quality Control with Externally Assigned Targets
4. Quality Control with Internal Targets-Multivariate Process
5. Quality Control with Targets from a Reference Sample
6. Analyzing Data with Multivariate Control Charts
7. Detection of Out-of-Control Characteristics
8. The Statistical Tolerance Regions Approach
9. Multivariate Quality Control with Units in Batches
10. Applications of Principal Components
11. Additional Graphical Techniquefsor Multivariate Quality Control
12. Implementing Multivariate Quality Control

Appendix

Páginas : 224
Peso : 6mb.
Formato : PDF.
Edición : Primera
Año de Publicación :1998
ISBN : 978-0824799397
Editorial : 1 edition
Autor: Camil Fuchs, Ron Kenett

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