Results 281 to 290 of about 194,005 (326)

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.
Algina, James, Aydin, Burak
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Restricted best linear unbiased prediction and a selection model

Theoretical and Applied Genetics, 1984
An equivalence between restricted best linear unbiased prediction (and thus restricted selection index) and a particular example of a selection model is presented. Specifically, the equivalence is between restricted selection and a model of selection on the residuals of the general mixed linear model.
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Simple least squares estimation versus best linear unbiased prediction

Journal of Statistical Planning and Inference, 1981
Abstract Necessary and sufficient conditions are developed for the simple least squares estimator to coincide with the best linear unbiased predictor. The conditions obtained are valid for a general linear model and are generalizations of the condition given by Watson (1972).
Baksalary, J. K., Kala, R.
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REML and Best Linear Unbiased Prediction in State Space Models

Communications in Statistics - Theory and Methods, 1994
This article takes a hierarchical model approach to the estimation of state space models with diffuse initial conditions. An initial state is said to be diffuse when it cannot be assigned a proper prior distribution. In state space models this occurs either when fixed effects are present or when modelling nonstationarity in the state transition ...
John Tsimikas, Johnnes Ledolter
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Optimal Designs for Best Linear Unbiased Prediction in Diallel Crosses

Communications in Statistics - Theory and Methods, 2005
ABSTRACT Recently, Ghosh and Das (2003) considered the estimation of variance components and the variances of these estimates. While comparing the yielding capacities of the cross (i, j), Kempthorne and Curnow (1961) proposed the estimation of the yielding capacity of any cross based on the least square estimators of the general combining ability ...
Himadri Ghosh, Ashish Das
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BLUP (Best Linear Unbiased Prediction) and Beyond

1990
The problem considered is that of predicting the value of an unobservable random variable w from the value of an observable random vector y. This problem is considered under each of four states of knowledge about the joint distribution of w and y, ranging from complete knowledge to “no” knowledge.
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Best Linear Unbiased Prediction of Maize Single‐Cross Performance

Crop Science, 1996
In preliminary studies, best linear unbiased prediction (BLUP) has been found useful for identifying high‐yielding maize (Zea mays L.) single crosses prior to field evaluation. In this study, the effectiveness of BLUP for large‐scale prediction of yield, moisture, stalk lodging, and root lodging was investigated.
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Empirical Best Linear Unbiased Prediction of Computer Simulator Output

2018
This chapter and Chap. 4 discuss techniques for predicting output for a computer simulator based on “training” runs from the model. Knowing how to predict computer output is a prerequisite for answering most practical research questions that involve computer simulators including those listed in Sect. 1.3.
Thomas J. Santner, Brian J. Williams, William I. Notz   +2 more
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Best Linear Unbiased Prediction and Family Selection in Crop Species

Crop Science, 2011
ABSTRACTBest linear unbiased prediction (BLUP) is the method primarily used for genetic evaluation in animal and forest species breeding. The objective was to present theory and application of BLUP in family selection. Statistical models aim to predict the breeding values of parents of half‐sib and inbred families and the individual or average additive
José Marcelo Soriano Viana, Vinícius Ribeiro Faria, Fabyano Fonseca e Silva, Marcos Deon Vilela de Resende   +3 more
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A method for reducing inbreeding with Best Linear Unbiased Prediction

Proceedings of the British Society of Animal Production (1972), 1993
An optimum way of selecting animals is through a prediction of their genetic merit (estimated breeding value, EBV), which can be achieved using a best linear unbiased predictor (BLUP) (Henderson, 1975). Selection decisions in a commercial environment, however, are rarely made solely on genetic merit but also on additional factors, an important example ...
B Grundy, WG Hill
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