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Process Capability Analysis: Estimating Quality

Process Capability Analysis: Estimating Quality

Process Capability Analysis: Estimating Quality
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Process Capability Analysis: Estimating Quality Paperback - 2020

by Polhemus, Neil W

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Chapman & Hall, 2020. Paperback. New. 284 pages. 9.21x6.14x0.79 inches.
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Details

  • Title Process Capability Analysis: Estimating Quality
  • Author Polhemus, Neil W
  • Binding Paperback
  • Condition New
  • Pages 268
  • Volumes 1
  • Language ENG
  • Publisher Chapman & Hall
  • Publication date 2020
  • Bookseller's Inventory # x-0367572516
  • ISBN 9780367572518 / 0367572516
  • Weight 0.89 lbs (0.40 kg)
  • Dimensions 9.21 x 6.14 x 0.6 in (23.39 x 15.60 x 1.52 cm)
  • Category Business / Economics / Finance
  • Dewey Decimal Code 658.401
  • Quantity available 2

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From the publisher

Process Capability Analysis: Estimating Quality presents a systematic exploration of process capability analysis and how it may be used to estimate quality. The book is designed for practitioners who are tasked with insuring a high level of quality for the products and services offered by their organizations. Along with describing the necessary statistical theory, the book illustrates the practical application of the techniques to data that do not always satisfy the standard assumptions.

The first two chapters deal with attribute data, where the estimation of quality is restricted to counts of nonconformities. Both classical and Bayesian methods are discussed. The rest of the book deals with variable data, including extensive discussions of both capability indices and statistical tolerance limits. Considerable emphasis is placed on methods for handling non-normal data. Also included are discussions of topics often omitted in discussions of process capability, including multivariate capability indices, multivariate tolerance limits, and capability control charts. A separate chapter deals with the problem of determining adequate sample sizes for estimating process capability.

Features:

Comprehensive treatment of the subject with consistent theme of estimating percent of nonconforming product or service.

Includes Bayesian methods.

Extension of univariate techniques to multivariate data.

Demonstration of all techniques using Statgraphics data analysis software.

Neil Polhemus is Chief Technology Officer at Statgraphics Technology and the original developer of the Statgraphics program for statistical analysis and data visualization. Dr. Polhemus spent 6 years on the faculty of the School of Engineering and Applied Science at Princeton University before moving full-time to software development and consulting. He has taught courses dealing with statistical process control, design of experiments and data analysis for more than 100 companies and government agencies.

About the author

Dr. Polhemus is Chief Technology Officer for Statpoint Technologies, Inc. and directs the development of STATGRAPHICS. He received his B.S.E. and Ph.D. degrees from the School of Engineering and Applied Science at Princeton University, under the tutelage of Dr. J. Stuart Hunter. Dr. Polhemus spent two years as an assistant professor in the Graduate School of Business Administration at the University of North Carolina at Chapel Hill and six years as an assistant professor in the Engineering School at Princeton University.Dr. Polhemus founded Statistical Graphics Corporation in 1980 to develop and promote the STATGRAPHICS software program. In 1983, he founded Strategy Plus, Inc., which developed EXECUSTAT for DOS. Dr. Polhemus founded NWP Associates, Inc., in 1993 to develop STATLETS, a set of Java applets which permit statistical data analysis over the Internet. In 1999 development of STATGRAPHICS was assumed by Statpoint Technologies, Inc.Dr. Polhemus lives in northern Virginia with his wife Caroline and is the proud father of four sons: Christopher, Gregory, Leland, and Michael.

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