Optimum Designs for Multi-Factor Models

Paperback | May 2, 1996

byRainer 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 marginal problems for large classes of models with relevant interaction structures.

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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 d...

Format:PaperbackDimensions:124 pages, 9.25 × 6.1 × 0 inPublished:May 2, 1996Publisher:Springer New York

The following ISBNs are associated with this title:

ISBN - 10:0387947450

ISBN - 13:9780387947457

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Table of Contents

Contents: Part I: General Concepts.- Foundations.- A Review of Optimum Design Theory.- Reduction Principles. Part II: Particular Classes of Multi-factor Models.- Complete Product-type Interactions.- No Interactions.- Partial Interactions.- Some Additional Results.