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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Mark J. Anderson, PE, CQE, MBA, is a principal and general manager of Stat-Ease, Inc. in Minneapolis, Minnesota. A chemical engineer by profession, he also has a diverse array of experience in process development (earning a patent), quality assurance, marketing, purchasing, and general management. Prior to joining Stat-Ease, he spearheaded an award-winning quality improvement program (which generated millions of dollars in profit for an international manufacturer) and served as general manager for a medical device manufacturer. His other achievements include an extensive portfolio of published articles on design of experiments. Anderson co-authored (with Whitcomb) RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments (Productivity Press, 2004).
Patrick J. Whitcomb, PE, MS, is the founding principal and president of Stat-Ease, Inc. Before starting his own business, he worked as a chemical engineer, quality assurance manager, and plant manager. Whitcomb developed Design-Ease(R) software, an easy-to-use program for design of two-level and general factorial experiments, and Design-Expert(R) software, an advanced user's program for response surface, mixture, and combined designs. He has provided consulting and training on the application of design of experiments (DOE) and other statistical methods for decades. In 2013, the Minnesota Federation of Engineering, Science, and Technology Societies (MFESTS) awarded Whitcomb the Charles W. Britzius Distinguished Engineer Award for his lifetime achievements.Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Vendeur : Bookbot, Prague, Rébublique tchèque
Softcover. Etat : 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. N° de réf. du vendeur 308aed34-a47a-422f-9ca7-5b85f030d854
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