Blup.se - Best linear unbiased prediction - Wikipedia

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WEBIn 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") …

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Best linear unbiased prediction - Wikipedia
wikipedia.org

https://en.m.wikipedia.org/wiki/Best_linear_unbiased_prediction

WEBIn 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") …

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BLUP for phenotypic selection in plant breeding and variety …
springer.com

https://link.springer.com/article/10.1007/s10681-007-9449-8

WEBJul 19, 2007 · Best linear unbiased prediction (BLUP) is a standard method for estimating random effects of a mixed model. This method was originally developed in animal breeding for estimation of breeding values and is now widely used in many areas of research.

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Best Linear Unbiased Prediction: Applications | SpringerLink
springer.com

https://link.springer.com/chapter/10.1007/978-94-015-7833-2_12

WEBBest linear unbiased prediction (BLUP) can be thought of as best linear prediction (BLP) with one difference: the vector of fixed effects (α) associated with the vector of observations (y) is assumed known in BLP, but estimated in BLUP. Many of the steps...

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21. Best Linear Unbiased Prediction (BLUP) of Random …
github.io

https://dnett.github.io/S510/21BLUP.pdf

WEBTo be a BLUP, we require... 1 u^ to be a linear function of y, 2 u^ to be unbiased for u so that E(u^ u) = 0, and 3 Var(uˆ u) to be no “larger” than the Var(v u), where v is any other linear and unbiased predictor. Copyright c 2019 (Iowa State University)21. Statistics 510 13 / …

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Introduction to BLUP - Amazon Web Services
amazonaws.com

https://rstudio-pubs-static.s3.amazonaws.com/379395_b7e126f83d8c4168937fd18baa56af5d.html

WEBIntroduction. Best linear unbiased prediction (BLUP) was first derived by Charles (Chuck) Henderson while he was a graduate student at Iowa State College (now University).The challenge for animal breeders was that we were always interested in predicting the ‘breeding value’ (random variable) for animals. This was in contrast to many fields where the only interest is in some fixed quantity ...

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Expanding the BLUP alphabet for genomic prediction adaptable …
nature.com

https://www.nature.com/articles/s41437-018-0075-0

WEBMay 16, 2018 · In this study, we found two ways to change the kinship derivation in the BLUP method that improve prediction accuracy while maintaining the computational advantage.

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Random effect predictions table for Fit Mixed Effects Model
minitab.com

https://support.minitab.com/minitab/help-and-how-to/statistical-modeling/anova/how-to/mixed-effects-model/interpret-the-results/all-statistics-and-graphs/random-effect-predictions/

WEBThe Best Linear Unbiased Predictor (BLUP) for a specific level of a random factor term describes the effect of the term level on the response. Minitab uses these values to calculate the conditional fitted values for the given levels of …

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Selection Index and the Best Linear Unbiased Prediction
springer.com

https://link.springer.com/chapter/10.1007/978-3-030-83940-6_16

WEBJan 19, 2022 · The best linear unbiased prediction (BLUP) is a generalization of selection index where phenotypic values of all measured individuals are included in the index to predict the breeding value of a candidate, but the weights of the index can vary from one candidate to another.

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Why do the estimated values from a Best Linear Unbiased Predictor (BLUP
stackexchange.com

https://stats.stackexchange.com/questions/122218/why-do-the-estimated-values-from-a-best-linear-unbiased-predictor-blup-differ

WEB1 Answer. Sorted by: The values that you get from BLUPs aren't estimated in the same way as the BLUE estimates of fixed effects; by convention BLUPs are referred to as predictions. When you fit a mixed effects model, what are estimated initially are the mean and variance (and possibly the covariance) of the random effects.

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Performance of Bayesian and BLUP alphabets for genomic
nature.com

https://www.nature.com/articles/s41437-022-00539-9

WEBArticle. Published: 04 May 2022. Performance of Bayesian and BLUP alphabets for genomic prediction: analysis, comparison and results. Prabina Kumar Meher, Sachin Rustgi & Anuj Kumar. Heredity 128...

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