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A bound for the Euclidean distance between restricted and unrestricted estimators of parametric functions in the general linear model

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Publication:452320
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DOI10.1007/s00362-010-0336-3zbMath1440.62087OpenAlexW2019439320MaRDI QIDQ452320

Pawel R. Pordzik

Publication date: 20 September 2012

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-010-0336-3


Mathematics Subject Classification ID

Point estimation (62F10) Generalized linear models (logistic models) (62J12)


Related Items

Some Further Remarks on the Linear Sufficiency in the Linear Model, Upper bounds for the Euclidean distances between the BLUPs, Equalities between OLSE, BLUE and BLUP in the linear model



Cites Work

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  • Inverse-partitioned-matrix method for the general Gauss-Markov model with linear restrictions
  • A bound for the Euclidean norm of the difference between the best linear unbiased estimator and a linear unbiased estimator
  • Implied linear restrictions in the general Gauss-Markov model
  • A study of the equivalence between a gauss-markoff model and its augmentation by nuisance parameters
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