Offering a planned approach for determining cause and effect, this updated edition of a bestseller integrates the authors' decades of combined experience in providing training, consulting, and computational tools to industrial experimenters. Supplying readers with the statistical means to analyze how numerous variables interact, it is ideal for those seeking breakthroughs in product quality and process efficiency via systematic experimentation. This edition incorporates a lively approach to learning the fundamentals of design of experiments (DOE). It lightens up the inherently dry complexities with interesting sidebars and amusing anecdotes.
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Patrick J. Whitcomb Mark J. Anderson
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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Bestandsnummer des Verkäufers G1482218941I3N00
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Zustand: acceptable. This book is in acceptable condition and may have highlighting and or writing throughout. This copy may have liquid damage. The actual cover image may not match the stock photo, dust jacket may be damaged or missing. Book may show internal and or external wear on spine or cover and may be slightly skewed or have creased pages. This is a used book so codes may be invalid or accompanying media may be missing. May be an Ex library book with stickers and stamps. Bestandsnummer des Verkäufers GBV.1482218941.A
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Softcover. Zustand: Fine. Leichte Risse; Gebogener Buchrücken. This book offers a structured approach to understanding cause and effect through the design of experiments (DOE), drawing on the authors' extensive experience in training and consulting for industrial experimenters. It equips readers with statistical tools to analyze variable interactions, making it ideal for those aiming to enhance product quality and process efficiency through systematic experimentation. Building on its successful predecessors, this edition presents the fundamentals of DOE in an engaging manner, incorporating entertaining sidebars and anecdotes to simplify complex concepts. It covers methods for data collection and display, comparative experiments for hypothesis testing, and techniques for blocking sources of variation. The text delves into two-level factorial designs and analysis of variance, while introducing a four-step planning process that emphasizes statistical power. Notably, this edition features a significant update to the accompanying software and introduces designs that limit the randomization of challenging factors. A new chapter on split plots and coverage of recent developments in experiment design and analysis are also included. Readers will find case studies, practice problems, a glossary of terms and symbols, and access to dynamic online lectures that enhance the learning experience. Bestandsnummer des Verkäufers 308aed34-a47a-422f-9ca7-5b85f030d854
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Zustand: New. pp. 300 3rd Edition. Bestandsnummer des Verkäufers 2698204792
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