Multivariate quality control : theory and applications

Author(s)

Bibliographic Information

Multivariate quality control : theory and applications

Camil Fuchs, Ron S. Kenett

(Quality and reliability, 54)

M. Dekker, c1998

Available at  / 2 libraries

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Note

Includes bibliographical references (p. 201-204) and index

Description and Table of Contents

Description

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 highlighting multivariate profile charts.

Table of Contents

  • Quality control with multivariate data
  • the multivariate normal distribution in quality control
  • quality control with externally assigned targets
  • quality control with internal targets - multivariate process capability studies
  • quality control with targets from a reference sample
  • analyzing data with multivariate control charts
  • detection of out-of-control characteristics
  • the statistical tolerance regions approach
  • multivariate quality control with units in batches
  • applications of principal components
  • additional graphical techniques for multivariate quality control
  • implementing multivariate quality control
  • appendix 1 - MINITAB (TM) macros for multivariate quality control
  • appendix 2 - the data from case studies
  • appendix 3 - review of matrix algebra for statistics with MINIATB (TM) computations.

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