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Synopsis
A well-designed experiment is an efficient method for learning about the physical world, however since experiments in any setting cannot avoid random error, statistical methods are essential for their design and implementation, and for the analysis of results. In this book, the fundamentals of optimum experimental design theory are presented. In the first part, the advantages of a statistical approach to the design of experiments are discussed, and the ideas of models, least squares fitting, and optimum experimental designs are introduced. The second part presents a more detailed discussion of the general theory of optimum design and an evaluation of various criteria that may be appropriate for designing experiments. Specific experiments are detailed and algorithms for the construction of designs are given. Each chapter is a self-contained, illustrated with examples drawn from science and engineering. Little previous statistical knowledge is assumed, and the derivation of mathematical results has been avoided. This book should be of interest to everyone concerned with designing experiments that are practical, efficient, and accurate.
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About the Author
A. C. Atkinson is at London School of Economics. A. N. Donev is at University of Kent.
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- PublisherClarendon Press
- Publication date1992
- ISBN 10 0198522541
- ISBN 13 9780198522546
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages344
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Optimum Experimental Designs
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Optimum Experimental Designs
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Optimum Experimental Designs (Hardcover)
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ISBN 10: 0198522541
ISBN 13: 9780198522546
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Hardcover. Condition: new. Hardcover. A well-designed experiment is an efficient method of learning about the world. Because experiments in the field and in the laboratory cannot avoid random error, statistical methods are essential for their efficient design and analysis. In this book, the fundamentals of optimum experimental design theory are presented. In the first part of the part of the book, the advantages of a statistical approach to the design of experiments are discussed, and the ideas ofmodels, least squares fitting, and optimum experimental designs are introduced. The second part presents a more detailed discussion of the general theory of optimum design and an evaluation of variouscriteria that may be appropriate for designing experiments. Specific experiments are detailed and algorithms for the construction of designs are given.Each chapter is a self-contained topic, illustrated with examples drawn from science and engineering. Little previous statistical knowledge is assumed, and the derivation of mathematical results has been avoided. This book should be of interest to everyone concerned with designing efficient experiments in the laboratory orin the industry. This book presents the fundamentals of optimum experimental design theory. Each chapter is a self-contained topic, illustrated with examples drawn from science and engineering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780198522546
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