Information matrices of maximal parameter subsystems in linear models
It is shown that the information matrices of maximal parameter subsystems in linear models are linear functions of the moment matrices. With this result, design problems for maximal parameter subsystems are shown to be equivalent to design problems for the full parameter vector of a minimally parameterized model.
Year of publication: |
2003
|
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Authors: | Klein, Thomas |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 62.2003, 4, p. 355-360
|
Publisher: |
Elsevier |
Keywords: | Design optimality Experimental design Moment matrix Reparameterization |
Saved in:
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