Results 251 to 260 of about 6,446,441 (278)
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Breeding without breeding: selection using the genomic best linear unbiased predictor method (GBLUP)
New Forests, 2012We demonstrate, using height data from a clonal trial, how the genomic best linear unbiased predictor method (GBLUP) is ideal for determining future breeding potential in situations (either in plantations or wild stands) where high mortality due to biotic or abiotic factors has occurred.
Yousry A. El-Kassaby +2 more
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Canadian Journal of Forest Research, 1999
The idea of postblocking a trial is well known and has been used to advantage by Patterson and Hunter (1983) as a means of studying the nature of spatial variation at trial sites. A more detailed assessment of postblocking was carried out by Ainsley et al.
E.R. Williams, Y.-B. Fu
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The idea of postblocking a trial is well known and has been used to advantage by Patterson and Hunter (1983) as a means of studying the nature of spatial variation at trial sites. A more detailed assessment of postblocking was carried out by Ainsley et al.
E.R. Williams, Y.-B. Fu
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Biometrika, 2005
Hierarchical likelihood provides a statistically efficient procedure for frailty models. Recently, a method using the computationally attractive orthodox best linear unbiased predictor has been proposed; this uses Pearson-type estimation. We compare both approaches and discuss their relative merits.
Il Do Ha, Youngjo Lee
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Hierarchical likelihood provides a statistically efficient procedure for frailty models. Recently, a method using the computationally attractive orthodox best linear unbiased predictor has been proposed; this uses Pearson-type estimation. We compare both approaches and discuss their relative merits.
Il Do Ha, Youngjo Lee
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Canadian Journal of Forest Research, 1999
was deliberately set aside for the purpose of improving breeding efficiency. Such plain, unbalanced, incomplete block designs and mixed models, as described by Ericsson (1997), do not fulfill the prerequisites needed when it comes to using the methods discussed by Williams and Fu (1999).
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was deliberately set aside for the purpose of improving breeding efficiency. Such plain, unbalanced, incomplete block designs and mixed models, as described by Ericsson (1997), do not fulfill the prerequisites needed when it comes to using the methods discussed by Williams and Fu (1999).
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Query: Sire Evaluation with Best Linear Unbiased Predictors
Biometrics, 1982Daniel Gianola +2 more
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Modified best linear unbiased estimator of the shape parameter of log-logistic distribution
Journal of Statistical Computation and Simulation, 2021Wangxue Chen
exaly
A NOTE ON GOLDBERGER'S BEST LINEAR UNBIASED PREDICTOR IN THE GENERALIZED REGRESSION MODEL
1975Van Der Loeff, S. Schim +3 more
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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
exaly
Nearest Neighbor Adjusted Best Linear Unbiased Prediction
American Statistician, 1991W W Stroup
exaly