Optimum Designs for Multi-Factor Models - Rainer Schwabe
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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 ma ... Full description
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Description
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.
More Information
| Author | Rainer Schwabe |
|---|---|
| Publisher | Springer US |
| Series | Lecture Notes in Statistics |
| Release year | 1996 |
| Cover type | Softcover |
| EAN | 9780387947457 |