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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D-optimal joint best linear unbiased prediction of order statistics [PDF]
Metrika, 2020 In life-testing experiments, it is often of interest to predict unobserved future failure times based on observed early failure times. A point best linear unbiased predictor (BLUP) has been developed in this context by Kaminsky and Nelson (J Am Stat ...
N. Balakrishnan, Ritwik Bhattacharya
semanticscholar +4 more sources
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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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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Prediction of complex human traits using the genomic best linear unbiased predictor. [PDF]
PLoS Genetics, 2013 Despite important advances from Genome Wide Association Studies (GWAS), for most complex human traits and diseases, a sizable proportion of genetic variance remains unexplained and prediction accuracy (PA) is usually low. Evidence suggests that PA can be
Gustavo de Los Campos +4 more
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The impact of selective genotyping on the response to selection using single-step genomic best linear unbiased prediction. [PDF]
J Anim Sci, 2018 Across the majority livestock species, routinely collected genomic and pedigree information has been incorporated into evaluations using single-step methods.
Howard JT +5 more
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Solving efficiently large single‐step genomic best linear unbiased prediction models [PDF]
Journal of Animal Breeding and Genetics, 2017 SummarySingle‐step genomic BLUP (ssGBLUP) requires a dense matrix of the size equal to the number of genotyped animals in the coefficient matrix of mixed model equations (MME). When the number of genotyped animals is high, solving time of MME will be dominated by this matrix. The matrix is the difference of two inverse relationship matrices: genomic (G)
I. Strandén +3 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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Genomic best linear unbiased prediction method including imprinting effects for genomic evaluation. [PDF]
Genet Sel Evol, 2015 Genomic best linear unbiased prediction (GBLUP) is a statistical method used to predict breeding values using single nucleotide polymorphisms for selection in animal and plant breeding. Genetic effects are often modeled as additively acting marker allele
Nishio M, Satoh M.
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Marker‐Assisted Best Linear Unbiased Prediction of Single‐Cross Performance [PDF]
Crop Science, 1999 Predicting the performance of untested single crosses is important in hybrid breeding programs. The objective of this study was to compare the effectiveness of best linear unbiased prediction based on trait data alone (T‐BLUP) and trait and marker data combined (TM‐BLUP).
Rex Bernardo
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