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Best linear unbiased prediction

In statistics, best linear unbiased prediction (BLUP) is used in linear mixed models for the estimation of random effects. BLUP was derived by Charles Roy Henderson in 1950 but the term "best linear unbiased predictor" (or "prediction") seems not to have been used until 1962. "Best linear unbiased predictions" (BLUPs) of random effects are similar to…

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BLUP vs BLUE

History of BLUP in breeding

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Best linear unbiased prediction

Nodes18
Edges17
Triples12
Avg. degree1.89
Density0.111111
Components1

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Best linear unbiased prediction

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related to References · 12
Best linear unbiased prediction → Best, Biometrics, Henderson, Jian-Ying, Journal, JSTOR, Liu, Multivariate Analysis, PMID, Rong, Xiu-Ying, Xu-Qing

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random effects best linear unbiased blup prediction predictor estimated used term breeding model henderson variances fixed mixed models case parameters

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SubjectPredicateObjectConfidenceSrc
Best linear unbiased predictionrelated to ReferencesHenderson0.60section
Best linear unbiased predictionrelated to ReferencesBest0.60section
Best linear unbiased predictionrelated to ReferencesBiometrics0.60section
Best linear unbiased predictionrelated to ReferencesJSTOR0.60section
Best linear unbiased predictionrelated to ReferencesPMID0.60section
Best linear unbiased predictionrelated to ReferencesLiu0.60section
Best linear unbiased predictionrelated to ReferencesXu-Qing0.60section
Best linear unbiased predictionrelated to ReferencesRong0.60section
Best linear unbiased predictionrelated to ReferencesJian-Ying0.60section
Best linear unbiased predictionrelated to ReferencesXiu-Ying0.60section
Best linear unbiased predictionrelated to ReferencesJournal0.60section
Best linear unbiased predictionrelated to ReferencesMultivariate Analysis0.60section

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