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Lower bounds for the efficiency of designs with respect to the D-criterion when the observations are correlated

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Bischoff, Wolfgang:
Lower bounds for the efficiency of designs with respect to the D-criterion when the observations are correlated.
In: Statistics. 27 (1995) 1/2. - S. 27-44.
ISSN 0233-1888

Kurzfassung/Abstract

In the general linear model consider the experimental design problem for the Gauss-Markov estimator or least squares estimator when the observations are correlated. We prove new formulas for the efficiency of an exact design with respect to the $D$-criterion. For models with intercept term, for example, these formulas are useful to derive better lower bounds for the efficiency than the bounds recently given for an arbitrary linear model. These bounds are applied in examples to symmetrical regular circulants as covariance matrices. A byproduct of the investigations is some insight as to what kinds of designs might retain their optimality or high efficiency (for the uncorrelated homoscedastic case) under correlated observations.

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Publikationsform:Artikel
Schlagwörter:general linear model; lower bounds for efficiency; Gauss-Markov estimator; least squares estimator; exact design; $D$-criterion; intercept term; symmetrical regular circulants; correlated observations
Institutionen der Universität:Mathematisch-Geographische Fakultät > Mathematik > Lehrstuhl für Mathematik - Statistik und Stochastik
Peer-Review-Journal:Ja
Verlag:Taylor & Francis
Die Zeitschrift ist nachgewiesen in:
Titel an der KU entstanden:Nein
KU.edoc-ID:3723
Eingestellt am: 04. Mär 2010 13:36
Letzte Änderung: 04. Mär 2010 13:36
URL zu dieser Anzeige: https://edoc.ku.de/id/eprint/3723/
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