Best Linear Unbiased Prediction of Breeding Values Not in the Model for Records
Journal of Dairy Science, 1977 Abstract Methods for computing best linear unbiased predictions of random variables (breeding values or sire values) not appearing in the model for records are presented. One method involves taking linear functions of best linear unbiased predictions of variables appearing in the model for records.
Charles Henderson
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An alternative derivation method of mixed model equations from best linear unbiased prediction (BLUP) and restricted BLUP of breeding values not using maximum likelihood. [PDF]
Anim Sci J, 2018 Two mixed model equations (MME) for best linear unbiased prediction (BLUP) of breeding values and for restricted BLUP of breeding values were derived by maximum likelihood from the joint normal probability distribution of the observations and breeding ...
Satoh M.
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Best Linear Unbiased Prediction of Latent Means in Three-level Data
The Journal of Experimental Education, 2020 In multilevel modeling decomposing variables into between and within components is often required in the analysis. This decomposition should not ignore the possible unreliability of an observed group mean (i.e. arithmetic mean) that is due to small cluster sizes and can lead to substantially biased estimates.
Burak Aydın, James Algina
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Efficient weighting methods for genomic best linear-unbiased prediction (BLUP) adapted to the genetic architectures of quantitative traits. [PDF]
Heredity (Edinb), 2021 Ren D, An L, Li B, Qiao L, Liu W.
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Best Linear Unbiased Prediction for Multifidelity Computer Experiments [PDF]
Mathematical Problems in Engineering, 2018 Recently it becomes a growing trend to study complex systems which contain multiple computer codes with different levels of accuracy, and a number of hierarchical Gaussian process models are proposed to handle such multiple-fidelity codes. This paper derives the best linear unbiased prediction for three popular classes of multiple-level Gaussian ...
Weiyan Mu +3 more
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Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 Challenge [PDF]
Frontiers in Psychiatry, 2020 We ranked third in the Predictive Analytics Competition (PAC) 2019 challenge by achieving a mean absolute error (MAE) of 3.33 years in predicting age from T1-weighted MRI brain images.
Baptiste Couvy‐Duchesne +9 more
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Small Area Estimation untuk Estimasi Angka Kematian Bayi di Indonesia menggunakan Metode Empirical Best Linear Unbiased Prediction [PDF]
Jurnal Biometrika dan Kependudukan, 2021 Angka Kematian Bayi (AKB) adalah jumlah kematian bayi usia di bawah satu tahun untuk setiap 1000 kelahiran bayi lahir hidup dalam kurun waktu satu tahun. IMR merupakan indikator penting dari status kesehatan dari masyarakat dalam suatu daerah.
Nadra Yudelsa Ratu, Easbi Ikhsan
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Best linear unbiased prediction for linear combinations in general mixed linear models [PDF]
Journal of Multivariate Analysis, 2008 AbstractThe general mixed linear model can be written as y=Xβ+Zu+e. In this paper, we mainly deal with two problems. Firstly, the problem of predicting a general linear combination of fixed effects and realized values of random effects in a general mixed linear model is considered and an explicit representation of the best linear unbiased predictor ...
Xu-Qing Liu +2 more
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IEEE Access, 2019 This study assessed the predictive ability of genomic best linear unbiased prediction (GBLUP) and Bayesian regularization for feed-forward neural networks (BRNN-s1-s3-neuron) with one to three neurons using genomic relationship based on single nucleotide
Mahmut Sinecen
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Revista Ciência Agronômica, 2019 The objective of this study was to evaluate four selection indexes and best linear unbiased prediction (BLUP) for predicting genetic gain in maize hybrids used for silage. The genetic gain was compared between four selection indexes and BLUP.
Jocarla Ambrosim Crevelari +3 more
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