9781118456033-1118456033-Nonparametric Statistical Process Control

Nonparametric Statistical Process Control

ISBN-13: 9781118456033
ISBN-10: 1118456033
Edition: 1
Author: Chakraborti, Subhabrata, Graham, Marien
Publication date: 2019
Publisher: Wiley
Format: Hardcover 448 pages
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Book details

ISBN-13: 9781118456033
ISBN-10: 1118456033
Edition: 1
Author: Chakraborti, Subhabrata, Graham, Marien
Publication date: 2019
Publisher: Wiley
Format: Hardcover 448 pages

Summary

Acknowledged authors Chakraborti, Subhabrata, Graham, Marien wrote Nonparametric Statistical Process Control comprising 448 pages back in 2019. Textbook and eTextbook are published under ISBN 1118456033 and 9781118456033. Since then Nonparametric Statistical Process Control textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

A unique approach to understanding the foundations of statistical quality control with a focus on the latest developments in nonparametric control charting methodologies

Statistical Process Control (SPC) methods have a long and successful history and have revolutionized many facets of industrial production around the world. This book addresses recent developments in statistical process control bringing the modern use of computers and simulations along with theory within the reach of both the researchers and practitioners. The emphasis is on the burgeoning field of nonparametric SPC (NSPC) and the many new methodologies developed by researchers worldwide that are revolutionizing SPC.

Over the last several years research in SPC, particularly on control charts, has seen phenomenal growth. Control charts are no longer confined to manufacturing and are now applied for process control and monitoring in a wide array of applications, from education, to environmental monitoring, to disease mapping, to crime prevention. This book addresses quality control methodology, especially control charts, from a statistician’s viewpoint, striking a careful balance between theory and practice. Although the focus is on the newer nonparametric control charts, the reader is first introduced to the main classes of the parametric control charts and the associated theory, so that the proper foundational background can be laid.

  • Reviews basic SPC theory and terminology, the different types of control charts, control chart design, sample size, sampling frequency, control limits, and more
  • Focuses on the distribution-free (nonparametric) charts for the cases in which the underlying process distribution is unknown
  • Provides guidance on control chart selection, choosing control limits and other quality related matters, along with all relevant formulas and tables
  • Uses computer simulations and graphics to illustrate concepts and explore the latest research in SPC

Offering a uniquely balanced presentation of both theory and practice, Nonparametric Methods for Statistical Quality Control is a vital resource for students, interested practitioners, researchers, and anyone with an appropriate background in statistics interested in learning about the foundations of SPC and latest developments in NSPC.

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