Lower Bounds for the Efficiency of Designs with Respect to theD-Criterion when the Observations are Correlated
作者:
Wolfgang Bischoff,
期刊:
Statistics
(Taylor Available online 1995)
卷期:
Volume 27,
issue 1-2
页码: 27-44
ISSN:0233-1888
年代: 1995
DOI:10.1080/02331889508802508
出版商: Gordon & Breach Science Publishers
关键词: AMS 1991 subject classifications;62J05;62K05;62K99;Correlated observations;efficiency of designs;D-criterion;general linear model with intercept term;lower bounds for the efficiency;symmetrical regular circulants
数据来源: Taylor
摘要:
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 theD-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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