The Resource Multivariate statistical process control with industrial applications, Robert L. Mason, John C. Young, (electronic resource)

Multivariate statistical process control with industrial applications, Robert L. Mason, John C. Young, (electronic resource)

Label
Multivariate statistical process control with industrial applications
Title
Multivariate statistical process control with industrial applications
Statement of responsibility
Robert L. Mason, John C. Young
Creator
Contributor
Provider
Subject
Language
eng
Summary
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 an industrial process. The authors, leading researchers in this area who have developed major software for this type of charting procedure, provide valuable insight into the T2 statistic. Intentionally including only a minimal amount of theory, they lead readers through the construction and monitoring phases of the T2 control statistic using numerous industrial examples taken primarily from the chemical and power industries. These examples are applied to the construction of historical data sets to serve as a point of reference for the control procedure and are also applied to the monitoring phase, where emphasis is placed on signal location and interpretation in terms of the process variables
Member of
Cataloging source
CaBNvSL
http://library.link/vocab/creatorDate
1946-
http://library.link/vocab/creatorName
Mason, Robert Lee
Illustrations
illustrations
Index
index present
LC call number
TS156.8
LC item number
.M348 2002eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1942-
http://library.link/vocab/relatedWorkOrContributorName
  • Young, John C.
  • Society for Industrial and Applied Mathematics
  • Society for Industrial and Applied Mathematics
Series statement
ASA-SIAM series on statistics and applied probability
Series volume
9
http://library.link/vocab/subjectName
Process control
Target audience
adult
Label
Multivariate statistical process control with industrial applications, Robert L. Mason, John C. Young, (electronic resource)
Instantiates
Publication
Bibliography note
Includes bibliographical references (p. 253-257) and index
Color
black and white
Contents
Preface -- Chapter 1: Introduction to the T2 Statistic -- Chapter 2: Basic Concepts about the T2 Statistic -- Chapter 3: Checking Assumptions for Using a T2 Statistic -- Chapter 4: Construction of Historical Data Set -- Chapter 5: Charting the T2 Statistic in Phase I -- Chapter 6: Charting the T2 Statistic in Phase II -- Chapter 7: Interpretation of T2 Signals for Two Variables -- Chapter 8: Interpretation of T2 Signals for the General Case -- Chapter 9: Improving the Sensitivity of the T2 Statistic -- Chapter 10: Autocorrelation in T2 Control Charts -- Chapter 11: The T2 Statistic and Batch Processes -- Appendix: Distribution Tables -- Bibliography -- Index
Dimensions
unknown
Extent
1 electronic text (xiii, 263 p. : ill.)
File format
multiple file formats
Form of item
online
Isbn
9780898718461
Other control number
SA09
Other physical details
digital file.
Reformatting quality
access
Specific material designation
remote
System control number
  • (CaBNvSL)gtp00544303
  • (SIAM)9780898718461
Label
Multivariate statistical process control with industrial applications, Robert L. Mason, John C. Young, (electronic resource)
Publication
Bibliography note
Includes bibliographical references (p. 253-257) and index
Color
black and white
Contents
Preface -- Chapter 1: Introduction to the T2 Statistic -- Chapter 2: Basic Concepts about the T2 Statistic -- Chapter 3: Checking Assumptions for Using a T2 Statistic -- Chapter 4: Construction of Historical Data Set -- Chapter 5: Charting the T2 Statistic in Phase I -- Chapter 6: Charting the T2 Statistic in Phase II -- Chapter 7: Interpretation of T2 Signals for Two Variables -- Chapter 8: Interpretation of T2 Signals for the General Case -- Chapter 9: Improving the Sensitivity of the T2 Statistic -- Chapter 10: Autocorrelation in T2 Control Charts -- Chapter 11: The T2 Statistic and Batch Processes -- Appendix: Distribution Tables -- Bibliography -- Index
Dimensions
unknown
Extent
1 electronic text (xiii, 263 p. : ill.)
File format
multiple file formats
Form of item
online
Isbn
9780898718461
Other control number
SA09
Other physical details
digital file.
Reformatting quality
access
Specific material designation
remote
System control number
  • (CaBNvSL)gtp00544303
  • (SIAM)9780898718461

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