Midlands State University Library
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Process capability analysis : estimating quality / created by Neil W. Polhemus.

By: Material type: TextTextPublisher: CRC Press, Taylor & Francis Group, CRC Press is an imprint of the Taylor & Francis Group, an informa business, 2018Description: xiii, 268 pages ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781138030152 (hardback : acidfree paper)
Subject(s): LOC classification:
  • TS156.6 POL
Contents:
Preface. Introduction. Capability Analysis Based on Proportion of Nonconforming Items. Capability Analysis Based on Rate of Nonconformities . Capability Indices for Normally Distributed Data. Capability Analysis of Non-Normal Data . Statistical Tolerance Limits. Multivariate Capability Analysis. Conclusion. References.
Summary: "This book considers the problem of estimating the percent of nonconforming items in a process from the ground up. It examines methods based on both attribute data and variable data. For variable data, it looks at the basic techniques that were initially developed for data from normal distributions and considers how they must be modified to deal with non-normal data. The importance of capability indices and their relationship to the percent of non-conforming items is discussed, as is the use of statistical tolerance limits. Finally, the book covers an extension of univariate capability analysis to the multivariate situation, which is often ignored."--Provided by publisher
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book Book Main Library Open Shelf TS156.6 POL (Browse shelf(Opens below)) 158495 Available BK146420

"A Chapman & Hall Book."

Includes bibliographical references and index.

Preface. Introduction. Capability Analysis Based on Proportion of Nonconforming Items. Capability Analysis Based on Rate of Nonconformities . Capability Indices for Normally Distributed Data. Capability Analysis of Non-Normal Data . Statistical Tolerance Limits. Multivariate Capability Analysis. Conclusion. References.

"This book considers the problem of estimating the percent of nonconforming items in a process from the ground up. It examines methods based on both attribute data and variable data. For variable data, it looks at the basic techniques that were initially developed for data from normal distributions and considers how they must be modified to deal with non-normal data. The importance of capability indices and their relationship to the percent of non-conforming items is discussed, as is the use of statistical tolerance limits. Finally, the book covers an extension of univariate capability analysis to the multivariate situation, which is often ignored."--Provided by publisher

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