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AuthorSchwabe, Rainer. author
TitleOptimum Designs for Multi-Factor Models [electronic resource] / by Rainer Schwabe
ImprintNew York, NY : Springer New York, 1996
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Descript 124 p. online resource


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


I General Concepts -- 1 Foundations -- 2 A Review on Optimum Design Theory -- 3 Reduction Principles -- II Particular Classes of Multi-factor Models -- 4 Complete Product-Type Interactions -- 5 No Interactions -- 6 Partial Interactions -- 7 Some Additional Results -- Appendix on Partitioned Matrices -- References -- List of Symbols

Mathematics Probabilities Mathematics Probability Theory and Stochastic Processes


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