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Moen Ronald - Quality Improvement Through Planned Experimentation 3/E

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Moen Ronald Quality Improvement Through Planned Experimentation 3/E

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Overview: Co-written by three recipients of the Deming Medal awarded by the American Society for Quality (ASQ), Quality Improvement through Planned Experimentation, Third Edition discusses the principles and methodologies for planning and conducting experiments to improve products, processes, or systems.

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Quality Improvement through Planned Experimentation About the Authors - photo 1
Quality Improvement through Planned Experimentation
About the Authors Ronald D Moen is a statistician consultant and - photo 2
About the Authors
Ronald D Moen is a statistician consultant and teacher to industry - photo 3
Ronald D. Moen is a statistician, consultant, and teacher to industry, government, health care, and education. He has M.S. degrees in mathematics and statistics. He has given presentations and consulted throughout the world. He is the author of several papers relating to improvement and coauthor of The Improvement Guide , 2nd edition (Jossey-Bass, 2009) and Quality Measurement (HCPro, 2003). He is the year 2002 recipient of the Deming Medal awarded by the American Society for Quality.
Thomas W. Nolan is a statistician, author, and consultant. Over the past 20 years, he has assisted organizations in many industries in the United States, Canada, and Europe, including chemical and automotive manufacturing, distribution, health care, and social services. Among his clients is a recipient of the Malcolm Baldrige National Quality Award. Nolan holds a doctorate in statistics from George Washington University. He has published articles in a variety of peer-reviewed journals as diverse as the Noise Control Engineering Journal and the British Medical Journal , and he is coauthor of The Improvement Guide , 2nd edition (Jossey-Bass, 2009). He was the year 2000 recipient of the Deming Medal and the 2009 recipient of the William Hunter Award from the American Society for Quality.
Lloyd P. Provost is a statistician, advisor, teacher, and author who helps organizations make improvements and foster continuous learning and improvement. His experience includes consulting in planned experimentation, measurement, planning, management systems, and other methods for improvement of quality and productivity. He has consulted with clients worldwide in a variety of industries, including health care, chemical, manufacturing, engineering, construction, automotive, electronics, food, transportation, professional services, retail, education, and government. Much of his current work is focused on health care improvement in developing countries. He has a B.S. in statistics from the University of Tennessee and an M.S. in statistics from the University of Florida. He is the author of several papers relating to improvement and coauthor of The Improvement Guide , 2nd edition (Jossey-Bass, 2009) and The Health Care Improvement Guide (Jossey-Bass, 2011). He was awarded the American Society for Qualitys Deming Medal in 2003.
Quality Improvement through Planned Experimentation
Quality Improvement Through Planned Experimentation 3E - image 4
Third Edition
Ronald D. Moen
Thomas W. Nolan
Lloyd P. Provost
Quality Improvement Through Planned Experimentation 3E - image 5
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Copyright 2012 by The McGraw-Hill Companies Inc All rights reserved Except - photo 6
Copyright 2012 by The McGraw-Hill Companies, Inc. All rights reserved. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher.
ISBN: 978-0-07-175967-0
MHID: 0-07-175967-0
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To the Memory of W. Edwards Deming, 19001993
CONTENTS
FOREWORD This book by Ronald D Moen Thomas W Nolan and Lloyd P - photo 7
FOREWORD
This book by Ronald D Moen Thomas W Nolan and Lloyd P Provost breaks new - photo 8
This book by Ronald D. Moen, Thomas W. Nolan, and Lloyd P. Provost breaks new ground in the problem of prediction based on data from comparisons of two or more methods or treatments, tests of materials, and experiments.
Why does anyone make a comparison of two methods, two treatments, two processes, or two materials? Why does anyone carry out a test or an experiment? The answer is to predictwhether one of the methods or materials tested will in the future, under a specified range of conditions, perform better than the other one.
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