Nonnegative quadratic estimation and quadratic sufficiency in general linear models
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Publication:997005
DOI10.1016/j.jmva.2006.08.008zbMath1116.62064OpenAlexW2055901031MaRDI QIDQ997005
Publication date: 19 July 2007
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2006.08.008
Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Theory of matrix inversion and generalized inverses (15A09) Linear transformations, semilinear transformations (15A04) Sufficient statistics and fields (62B05)
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Cites Work
- Linear sufficiency and some applications in multilinear estimation
- Linear sufficiency and admissibility in restricted linear models
- Comparison of linear restricted models with respect to the validity of admissible and linearly sufficient estimators
- A note on the concepts of linear and quadratic sufficiency
- Nonnegative minimum biased quadratic estimation in mixed linear models
- Sufficiency and completeness in the linear model
- Nonnegative minimum biased quadratic estimation in the linear regression models
- Linear models. Least squares and alternatives
- Sufficient and admissible estimators in general multivariate linear model
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