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Empirical Best Linear Unbiased Prediction for Out of Sample Areas [PDF]
Models for small area estimation based on a random effects specification typically assume population units in different areas are uncorrelated. However, they can be extended to account for the correlation between areas by assuming that area random effects are spatially correlated. In this paper we suggest a simple variance-covariance structure for such
Saei, Ayoub, Chambers, Ray
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Theoretical and Applied Genetics, 1998
Results of multi-environment trials to evaluate new plant cultivars may be displayed in a two-way table of genotypes by environments. Different estimators are available to fill the cells of such tables. It has been shown previously that the predictive accuracy of the simple genotype by environment mean is often lower than that of other estimators, e.g.
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Results of multi-environment trials to evaluate new plant cultivars may be displayed in a two-way table of genotypes by environments. Different estimators are available to fill the cells of such tables. It has been shown previously that the predictive accuracy of the simple genotype by environment mean is often lower than that of other estimators, e.g.
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Empirical best linear unbiased predictors in multivariate nested-error regression models
Communications in Statistics - Theory and Methods, 2021Tsubasa Itô, Tatsuya Kubokawa
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Nearest Neighbor Adjusted Best Linear Unbiased Prediction
American Statistician, 1991W W Stroup
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Comparison of Index Selection and Best Linear Unbiased Prediction for Simulated Layer Poultry Data
Poultry Science, 1995R S Gowe, J P Gibson
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Restricted best linear unbiased prediction and a selection model
Theoretical and Applied Genetics, 1984Famula T R
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Linear unbiased prediction of clock errors
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2009Yuriy Shmaliy
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Best linear unbiased prediction of triticale hybrid performance
Euphytica, 2012Yusheng Zhao +2 more
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