E-Book, Englisch, Band 113, 124 Seiten, eBook
Reihe: Lecture Notes in Statistics
Schwabe Optimum Designs for Multi-Factor Models
Erscheinungsjahr 2012
ISBN: 978-1-4612-4038-9
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 113, 124 Seiten, eBook
Reihe: Lecture Notes in Statistics
ISBN: 978-1-4612-4038-9
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.
