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Optimum designs for multi-factor models

Author: Rainer Schwabe
Publisher: New York : Springer, ©1996.
Series: Lecture notes in statistics (Springer-Verlag), v. 113.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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 volume introduces the theory of optimum designs for complex models. It also develops general methods of reduction of  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Schwabe, Rainer.
Optimum designs for multi-factor models.
New York : Springer, ©1996
(DLC) 96014776
(OCoLC)34513151
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Rainer Schwabe
ISBN: 9781461240389 1461240387
OCLC Number: 682139791
Reproduction Notes: Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010. MiAaHDL
Description: 1 online resource (124 pages).
Details: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Contents: 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.
Series Title: Lecture notes in statistics (Springer-Verlag), v. 113.
Responsibility: Rainer Schwabe.

Abstract:

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  Read more...

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