Process Capability Analysis

Estimating Quality

Nonfiction, Science & Nature, Technology, Quality Control, Business & Finance, Industries & Professions, Mathematics, Statistics
Cover of the book Process Capability Analysis by Neil W. Polhemus, CRC Press
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Author: Neil W. Polhemus ISBN: 9781315405728
Publisher: CRC Press Publication: November 22, 2017
Imprint: Chapman and Hall/CRC Language: English
Author: Neil W. Polhemus
ISBN: 9781315405728
Publisher: CRC Press
Publication: November 22, 2017
Imprint: Chapman and Hall/CRC
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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