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Quality By Experimental Design

by Thomas B. Barker
$7.90 Now $3.90 Save 51%
Quality By Experimental Design - Thryft
Quality By Experimental Design - Thryft

Optimize experiments, save resources, achieve quality results.

This book would be perfect for someone who wants to improve their experimental design skills and achieve high-quality results while minimizing resource waste. With step-by-step examples and clear explanations, the author simplifies the mathematical aspects of statistical experimental design, making it accessible and practical. By integrating the robust design methodology introduced by Taguchi, the book provides a unique approach to optimizing experiments. Whether you are conducting large-scale or small-scale endeavors, this book will help you save resources and achieve the best possible outcomes.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.
Sale

Quality By Experimental Design

by Thomas B. Barker
$7.90 Now $3.90 Save 51%
ISBN: 9780824774516
Authors: Thomas B. Barker
Publisher: Marcel Dekker
Date of Publication: 1985-01-01
Format: Hardcover
Related Collections: Business, Personal Development, Science
Related Topics: Business, Education, Technology, Mathematics, Management
Goodreads rating: 4.2
(rated by 5 readers)

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Description

Elucidating a structure for experimentation that reduces excess expenditure of resources, this book explores the basic philosophy behind experimental design and the organizational aspects necessary to carry out both large- and small-scale endeavors. The author offers summaries of key concepts, end-of-chapter problems, and complete step-by-step examples for all methods and techniques covered. He integrates the robust design methodology introduced by Taguchi as a natural part of the design effort and establishes a criterion for measurement variables. The book presents the mathematical aspects of statistical experimental design in an intuitive rather than a theoretical manner.
Condition guide

Book Condition Guide

Books in Like New Condition

This book may contain very minor cosmetic defects, but it is in pristine condition. There should be no yellowing, no foxing, no water damage, and no annotations of any kind on the cover and the pages. For paperbacks, there should not be any crease marks on the spine. This book is good as new — lucky you!

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Very Good Condition

This book has been used, but it is still in a clean condition. There should be no foxing or annotations of any kind on the inner pages, but a sparse amount may be present on the cover, title pages, or outside edges of the book. There should be no water damage of any kind. For paperbacks, there may be light crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Good Condition

We do our best to ensure the quality of our books, but there is no escaping the wear and tear that comes with time. Slight foxing and some annotations may be present on the pages and the cover. There should be no water damage of any kind. For paperbacks, there may be several crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Well Read Condition

This is a well-read book, which means that the previous owner probably really enjoyed it! The cover and pages may include moderate foxing and annotations, but the text is not obscured and still readable. Moderate cosmetic defects and minor water damage may be present on the edges of the book. For paperbacks, there may be multiple crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

 

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Similar Reads

Optimize experiments, save resources, achieve quality results.

This book would be perfect for someone who wants to improve their experimental design skills and achieve high-quality results while minimizing resource waste. With step-by-step examples and clear explanations, the author simplifies the mathematical aspects of statistical experimental design, making it accessible and practical. By integrating the robust design methodology introduced by Taguchi, the book provides a unique approach to optimizing experiments. Whether you are conducting large-scale or small-scale endeavors, this book will help you save resources and achieve the best possible outcomes.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.