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Synopsis
In real applications most experimental situations are influenced by a large number of different factors. In these settings the design of an experiment leads to challenging optimization problems, even if the underlying relationship can be described by a linear model. Based on recent research, this book introduces the theory of optimum designs for complex models and develops general methods of reduction to marginal problems for large classes of models with relevant interaction structures.
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About the Author
Dr. Rainer Schwabe is a member of the Department of Mathematics and Sciences at the Free University of Berlin.
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Optimum Designs for Multi-Factor Models (Lecture Notes in Statistics, 113)
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Optimum Designs for Multi-Factor Models (Lecture Notes in Statistics, 113)
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Optimum Designs for Multi-Factor Models
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In real applications most experimental situations are influenced by a large number of different factors. In these settings the design of an experiment leads to challenging optimization problems, even if the underlying relationship can be described by a linear model. Based on recent research, this book introduces the theory of optimum designs for complex models and develops general methods of reduction to marginal problems for large classes of models with relevant interaction structures. 136 pp. Englisch. Seller Inventory # 9780387947457
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Optimum Designs for Multi-Factor Models
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Optimum Designs for Multi-Factor Models
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ISBN 10: 0387947450
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