The Desk Reference of Statistical Quality Methods

Crossley, Mark L.

ISBN 10: 0873894723 / ISBN 13: 9780873894722

Published by Asq Pr, 2000

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Bibliographic Details

• Title: The Desk Reference of Statistical Quality Methods
• Publisher: Asq Pr
• Publication Date: 2000
• Language: English
• ISBN 10: 0873894723
• ISBN 13: 9780873894722
• Binding: Hardcover
• Condition: New

About this title

Synopsis

The Desk Reference of Statistical Quality Methods contains clear explanations of over forty essential statistical quality improvement methods, in one easy-to-use reference guide. Arranged in alphabetical order for quick reference, this book provides the quality practitioner with a single resource that illustrates, in a practical manner, how to execute specific statistical methods frequently used in the quality sciences. Each method is presented in a stand-alone fashion and includes computational steps, application comments, and a fully illustrated brief presentation on how to use the tool or technique. Not just basic statistics, but a comprehensive study and reference guide that makes this book a perfect addition to any quality practitioner's bookshelf. Contents: Acceptance Control Chart Acceptance Sampling for Attributes Chi-Square Control Chart Design of Experiments Evolutionary Operations, EVOP Hypothesis Testing Individual/Moving Range Control Chart Measurement Error Assessment Non-Parametric Statistics Reliability SPC Chart Interpretation Weibull Analysis Zone Format Control Chart

About the Author

Mark L. Crossley has over twenty years experience working and teaching in the field of quality improvement. His credentials include certifications from the American Society for Quality as a Certified Quality Engineer (CQE), a Reliability Engineer (CRE), a Quality Auditor (CQA), and a R.A.B. Certified Lead Assessor (LA-QS). He is also a Certified Management Consultant (CMC) having met the requirements of the Institute of Management Consultants. Mr. Crossley holds a BS in Chemistry and Mathematics from the University of North Carolina and a MS in Quality Assurance from California State University. He is the president of Quality Management Associates, Inc., a consulting firm in Salisbury, North Carolina, specializing in the use of statistical methods for quality improvement, and he is a nationally recognized instructor for the American Society for Quality.