Statistical Methods for Quality Improvement, Second Edition
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English

THOMAS P. RYAN, PhD, is Director of Statistical Consulting in the Department of Statistics at Case Western Reserve University, and the author of Modern Regression Methods, available from Wiley.

English

FUNDAMENTAL QUALITY IMPROVEMENT AND STATISTICAL CONCEPTS.

Basic Tools for Improving Quality.

Basic Concepts in Statistics and Probability.

CONTROL CHARTS AND PROCESS CAPABILITY.

Control Charts for Measurements with Subgrouping (for One Variable).

Control Charts for Measurements without Subgrouping (for One Variable).

Control Charts for Attributes.

Process Capability.

Alternatives to Shewhart Charts.

Multivariate Control Charts for Measurement Data.

Miscellaneous Control Chart Topics.

BEYOND CONTROL CHARTS: GRAPHICAL AND STATISTICAL METHODS.

Other Graphical Methods.

Linear Regression.

Design of Experiments.

Contributions of Genichi Taguchi and Alternative Approaches.

Evolutionary Operation.

Analysis of Means.

Using Combinations of Quality Improvement Tools.

Answers to Selected Exercises.

Appendix.

Indexes.

English

"Ryan covers everything you could possibly imagine in a statistical methods book...Those with more advanced statistical experience will get the most from this book, although the reading level is suitable for the average user. This is an excellent reference for any of your quality improvement needs."  (Quality Progress, July 2012) This is a significant update of Professor Ryan's textbook from 1988. The chapters on statistical process control and process capability have been expanded considerably to include recent research in the field. The chapter on design of experiments is also longer, with the inclusion of robust design issues. The book is very well written. (Short Book Reviews, V21, N1, April 2001)

"As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available." (Technometrics, February 2001)

"...the book is carefully written, well produced, and contains a wealth of information for the interested reader." (Computational Statistics and Data Analysis, Volume 35, No. 2, 28 December, 2000)

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