This text provides an accessible approach to dealing with design and analysis of experiments. It should also give students a solid basis for concepts and theories that will be useful throughout their professional careers. Features new to this edition include: increased emphasis on the connection between the experiment and the model that can be developed from the results of the experiment; inclusion of material on computer output and new material on computer graphics; and the expansion and rearrangement of the chapter on factorial and fractional factorial design. The book should be of interest to students and lecturers of engineering.
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Learn How to Achieve Optimal Industrial Experimentation Through four editions, Douglas Montgomery has provided statisticians, engineers, scientists, and managers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. Now, in this fully revised and enhanced Fifth Edition, Montgomery has improved his best–selling text by focusing even more sharply on factorial and fractional factorial design and presenting new analysis techniques (including the generalized linear model). There is also expanded coverage of experiments with random factors, response surface methods, experiments with mixtures, and methods for process robustness studies. The book also illustrates two of today′s most powerful software tools for experimental design: Design–Expert(r) and Minitab(r). Throughout the text, You′ll find output from these two programs, along with detailed discussion on how computers are currently used in the analysis and design of experiments. You′ll also learn how to use statistically designed experiments to:
∗ Obtain information for characterization and optimization of systems
∗ Improve manufacturing processes
∗ Design and develop new processes and products
∗ Evaluate material alternatives in product design
∗ Improve the field performance, reliability, and manufacturing aspects of products
∗ Learn how to conduct experiments effectively and efficiently
Other important textbook features:
∗ Student version of Design–Expert(r) software is available.
∗ Web site (www.wiley.com/college/montgomery) offers supplemental text material for each chapter, a sample syllabus, and sample student projects from the author′s Design of Experiments course at Arizona State University.
This book describes the methods and techniques used in the design and analysis of experiments. It emphasizes the connection between the experiment and the model that the experimenter can develop from the results of the experiment and features a new chapter on experiments with random factors.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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