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Titlebook: Optimum Designs for Multi-Factor Models; Rainer Schwabe Book 1996 Springer-Verlag New York, Inc. 1996 Factor.Partition.Variance.addition.d

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Foundationse any inference. Therefore, we will consider the rather general situation in which the response is described by a linear model in which the response function . can be finitely parametrized in a linear way as introduced in Subsection 1.1. The performance of the statistical inference depends on the ex
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Complete Product-type Interactionst first we treat the case of complete interactions which has been thoroughly investigated in the literature starting from . (1965). With respect to the methods of proof involved the present section is dedicated to the equivalence theorems which have been presented in Section 2.
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Book 1996 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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978-0-387-94745-7Springer-Verlag New York, Inc. 1996
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Optimum Designs for Multi-Factor Models978-1-4612-4038-9Series ISSN 0930-0325 Series E-ISSN 2197-7186
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https://doi.org/10.1007/978-1-4612-4038-9Factor; Partition; Variance; addition; design; interaction; matrices; model; optimization; review
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