Lecture Notes in Statistics

Optimum Designs for Multi-Factor Models

Authors: Schwabe, Rainer

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About this book

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.

Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook $89.00
price for USA in USD (gross)
  • ISBN 978-1-4612-4038-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $119.00
price for USA in USD
  • ISBN 978-0-387-94745-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Optimum Designs for Multi-Factor Models
Authors
Series Title
Lecture Notes in Statistics
Series Volume
113
Copyright
1996
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York, Inc.
eBook ISBN
978-1-4612-4038-9
DOI
10.1007/978-1-4612-4038-9
Softcover ISBN
978-0-387-94745-7
Series ISSN
0930-0325
Edition Number
1
Number of Pages
124
Topics