BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Statistical Methods For Quality Improvement

Statistical Methods For Quality Improvement

Statistical Methods For Quality Improvement
Stock photo: cover may vary

Statistical Methods For Quality Improvement Hardback - 2011 - 3rd Edition

by Ryan, Thomas P,

Add to wish list
  • Used
New

Description

like new.
Ask the seller a question Add to wish list
A$209.43
A$5.82 Delivery within USA
Standard delivery: 2 to 14 days
More delivery options
Ships from GreatBookPrices (Maryland, United States)

Details

  • Title Statistical Methods For Quality Improvement
  • Author Ryan, Thomas P,
  • Binding Hardback
  • Edition number 3rd
  • Edition 3
  • Condition New
  • Pages 704
  • Volumes 1
  • Language ENG
  • Publisher Wiley
  • Publication date 2011-08-02
  • Features Bibliography, Index, Table of Contents, Textbook
  • Bookseller's Inventory # 6950123
  • ISBN 9780470590744 / 0470590742
  • Weight 2.47 lbs (1.12 kg)
  • Dimensions 9.35 x 6.4 x 1.52 in (23.75 x 16.26 x 3.86 cm)
  • Category Mathematics
  • Library of Congress subjects Quality control - Statistical methods, Process control - Statistical methods
  • Library of Congress Catalogue Number 2011022715
  • Dewey Decimal Code 658.562
  • Quantity available 5

About GreatBookPrices Maryland, United States

Biblio member since 2024

Since 1991, we have worked every day to serve our customers with state-of-the-art technology and world class service. We are dedicated to providing customers around the world with the widest selection of books, DVDs, and CDs at the absolute lowest price.

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from GreatBookPrices

Reader reviews for Statistical Methods For Quality Improvement

From the publisher

Praise for the Second Edition

"As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available."
--Technometrics

This new edition continues to provide the most current, proven statistical methods for quality control and quality improvement

The use of quantitative methods offers numerous benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools and techniques that make it possible to quickly identify and resolve both current and potential trouble spots within almost any manufacturing or nonmanufacturing process. The book provides detailed coverage of the application of control charts, while also exploring critical topics such as regression, design of experiments, and Taguchi methods.

In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include:

  • Updated coverage of control charts, with newly added tools
  • The latest research on the monitoring of linear profiles and other types of profiles
  • Sections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of CUSUM and EWMA procedures
  • New discussions on design of experiments that include conditional effects and fraction of design space plots
  • New material on Lean Six Sigma and Six Sigma programs and training

Incorporating the latest software applications, the author has added coverage on how to use Minitab software to obtain probability limits for attribute charts. new exercises have been added throughout the book, allowing readers to put the latest statistical methods into practice. Updated references are also provided, shedding light on the current literature and providing resources for further study of the topic.

Statistical Methods for Quality Improvement, Third Edition is an excellent book for courses on quality control and design of experiments at the upper-undergraduate and graduate levels. the book also serves as a valuable reference for practicing statisticians, engineers, and physical scientists interested in statistical quality improvement.

From the rear cover

Praise for the Second Edition

"As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available."
--Technometrics

This new edition continues to provide the most current, proven statistical methods for quality control and quality improvement

The use of quantitative methods offers numerous benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools and techniques that make it possible to quickly identify and resolve both current and potential trouble spots within almost any manufacturing or nonmanufacturing process. The book provides detailed coverage of the application of control charts, while also exploring critical topics such as regression, design of experiments, and Taguchi methods.

In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include:

  • Updated coverage of control charts, with newly added tools

  • The latest research on the monitoring of linear profiles and other types of profiles

  • Sections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) procedures

  • New discussions on design of experiments that include conditional effects and fraction of design space plots

  • New material on Lean Six Sigma and Six Sigma programs and training

Incorporating the latest software applications, the author has added coverage on how to use Minitab software to obtain probability limits for attribute charts. New exercises have been added throughout the book, allowing readers to put the latest statistical methods into practice. Updated references are also provided, shedding light on the current literature and providing resources for further study of the topic.

Statistical Methods for Quality Improvement, Third Edition is an excellent book for courses on quality control and design of experiments at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for practicing statisticians, engineers, and physical scientists interested in statistical quality improvement.

Media reviews

Citations

  • Reference and Research Bk News, 10/01/2011, Page 302

About the author

THOMAS P. RYAN, PhD, served on the Editorial Review Board of the Journal of Quality Technology from 1990-2006, including three years as the book review editor. He is an elected Fellow of the American Statistical Association, the American Society for Quality, and the Royal Statistical Society. A former consultant to Cytel Software Corporation, Dr. Ryan currently teaches advanced courses at statistics.com on the design of experiments, statistical process control, and engineering statistics. He is the author of Modern Experimental Design, Modern Regression Methods, Second Edition, and Modern Engineering Statistics, all published by Wiley.
tracking-