Lower Bounds for the Efficiency of Designs with Respect to theD-Criterion when the Observations are Correlated

DOI10.1080/02331889508802508zbMath0863.62068OpenAlexW2063078720MaRDI QIDQ2785879

Wolfgang Bischoff

Publication date: 3 June 1997

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331889508802508

zbMATH Keywords

correlated observationsleast squares estimatorgeneral linear model\(D\)-criterionintercept termexact designGauß-Markov estimatorlower bounds for efficiencysymmetrical regular circulants

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Optimal statistical designs (62K05)

Related Items

On maximin designs for correlated observations, The structure of a linear model: sufficiency, ancillarity, invariance, equivariance, and the normal distribution

Cites Work

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• Inequalities: theory of majorization and its applications