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Optimum Designs for Multi-Factor Models
R. Schwabe
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Description for Optimum Designs for Multi-Factor Models
Paperback. In real applications, most experimental situations are influenced by many factors. In these settings, the design of an experiment leads to optimization problems. This book introduces the theory of optimum designs for complex models, and develops methods of reduction to marginal problems for large classes of models, with interaction structures. Series: Lecture Notes in Statistics. Num Pages: 124 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 7. Weight in Grams: 450.
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.
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.
Product Details
Format
Paperback
Publication date
1996
Publisher
Springer-Verlag New York Inc. United States
Number of pages
124
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
124
Place of Publication
New York, NY, United States
ISBN
9780387947457
SKU
V9780387947457
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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