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best linear unbiased prediction

Initial evaluation of half sib progenies of Norway spruce using the best linear unbiased prediction

Initial evaluation of half sib progenies of Norway spruce using the best linear unbiased prediction

... ABSTRACT: The present paper deals with data obtained from fifteen years old Norway spruce (Picea abies [L.] Karst.) progeny test established at three sites in the Sázava River region. Parameter under the evaluation was a ...

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Genetic Evaluation by Best Linear Unbiased Prediction Using Marker and Trait Information in a Multibreed Population

Genetic Evaluation by Best Linear Unbiased Prediction Using Marker and Trait Information in a Multibreed Population

... Genetic evaluation by best linear unbiased prediction (BLUP) requires modeling genetic means, vari- ances, and covariances. This paper presents theory to model means, variances, and ...

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Empirical Best Linear Unbiased Prediction for Out of Sample Areas

Empirical Best Linear Unbiased Prediction for Out of Sample Areas

... empirical best linear unbiased prediction (EBLUP), see Prasad and Rao (1990), Singh et ...that prediction of random area effects for out of sample areas becomes ...a linear mixed ...

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Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction

Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction

... Background: A random multiple-regression model that simultaneously fit all allele substitution effects for additive markers or haplotypes as uncorrelated random effects was proposed for Best Linear ...

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Prediction of Rates of Inbreeding in Populations Selected on Best Linear Unbiased Prediction of Breeding Value

Prediction of Rates of Inbreeding in Populations Selected on Best Linear Unbiased Prediction of Breeding Value

... Predictions for the rate of inbreeding (⌬F ) in populations with discrete generations undergoing selection on best linear unbiased prediction (BLUP) of breeding value were developed. ...

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On Marker-Assisted Prediction of Genetic Value: Beyond the Ridge

On Marker-Assisted Prediction of Genetic Value: Beyond the Ridge

... techniques, best linear unbiased prediction, and ridge regression of phenotypes on marker genotypes have been suggested, as well as more elaborate ...

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Relationships and Utilization of Arachis Germplasm in Peanut Improvement.

Relationships and Utilization of Arachis Germplasm in Peanut Improvement.

... progeny. Best Linear Unbiased Prediction (BLUP) is a method for estimating the breeding value of a parent based on its own performance as well as that of its ...

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Assessment of genetic diversity in Coho salmon (Oncorhynchus kisutch) populations with no family records using ddRAD seq

Assessment of genetic diversity in Coho salmon (Oncorhynchus kisutch) populations with no family records using ddRAD seq

... Objective: Selective breeding for desirable traits is becoming popular in aquaculture. In Miyagi prefecture, Japan, a selectively bred population of Coho salmon (Oncorhynchus kisutch) has been established with the ...

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Bayesian models applied to genomic selection for categorical traits

Bayesian models applied to genomic selection for categorical traits

... Generalized Linear Mixed Model (GLMM) can be ...of linear relationship between predictors and categorical ...mixed linear model (BLMM), ignoring the assumption of normality of the data and residuals ...

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Host Genome Influence on Gut Microbial Composition and Microbial Prediction of Complex Traits in Pigs

Host Genome Influence on Gut Microbial Composition and Microbial Prediction of Complex Traits in Pigs

... mixed linear models were applied to estimate the microbiota variance for each complex ...genomic best linear unbiased prediction (G-BLUP) and microbial best linear ...

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On the Additive and Dominant Variance and Covariance of Individuals Within the Genomic Selection Scope

On the Additive and Dominant Variance and Covariance of Individuals Within the Genomic Selection Scope

... For instance, a recent study by Su et al. (2012) partitions genetic variance into additive and dominant, in such a way that these estimated variances are not directly comparable to pedigree-based estimates. In this work ...

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Best Linear Unbiased Estimation Fusion with Constraints

Best Linear Unbiased Estimation Fusion with Constraints

... to best utilize useful information contained in multiple sets of data for the purpose of estimating an unknown quantity — a parameter or ...the prediction and current ...

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Small Area Estimation: A Review of Methods Based on the
Application of Mixed Models

Small Area Estimation: A Review of Methods Based on the Application of Mixed Models

... on prediction of finite population quantities ...the Best Linear Unbiased Predictor (BLUP) of any linear function θ = ′ a y of the population y-values under the model ...

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C reactive protein, an early marker of community acquired sepsis resolution: a multi center prospective observational study

C reactive protein, an early marker of community acquired sepsis resolution: a multi center prospective observational study

... a linear mixed model that allowed us to predict an intercept and a slope for each ...a linear regression, Mean_CRP = a + b *day, for each patient and obtaining an individual intercept ( a ) and slope ( b ) ...

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Generalized Random Coefficient Estimators of Panel Data Models: Asymptotic and Small Sample Properties

Generalized Random Coefficient Estimators of Panel Data Models: Asymptotic and Small Sample Properties

... In pooled cross-sectional and time series data (panel data) models, the pooled least squares (classical pooling) estimator is the best linear unbiased estimator (BLUE) under the classical assumptions ...

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Applied statistical modelling and inference in ophthalmology : analysis of visual field and video data for glaucoma patients : a thesis presented in total fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey Univer

Applied statistical modelling and inference in ophthalmology : analysis of visual field and video data for glaucoma patients : a thesis presented in total fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Manawatu, New Zealand

... Disease mapping traditionally investigates the geographical distribution of a disease within a spatially defined region. ‘Disease mapping studies aim to summarize spatial variation in disease risk, in order to assess and ...

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Genetic association analysis of indica rice yield and related traits in irrigated ecosystems

Genetic association analysis of indica rice yield and related traits in irrigated ecosystems

... Irrigated rice contributes the most to rice production globally and in most of rice producing countries. As with other rice production ecosystems, genotype and growing environment are the main factors influencing grain ...

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Applied statistical modelling and inference in ophthalmology : analysis of visual field and video data for glaucoma patients : a thesis presented in total fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey Univer

Applied statistical modelling and inference in ophthalmology : analysis of visual field and video data for glaucoma patients : a thesis presented in total fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Manawatu, New Zealand

... regression, (b) monotonic spline and (c) unconstrained spline fits. Each figure shows the fits of all 3 models with the 95% Bayesian credible interval for the constrained model shown in grey. DICs for the models are ...

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On the risk free rate

On the risk free rate

... a period in which the Bund most accurately reflected the risk-free rate. We choose the period between 2000 and 2008. We leave the pre-Euro period out of the consideration, since it may have currency specific issues and ...

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Estimation of parameters of a two-parameter rectangular distribution and its characterization by k-th

Estimation of parameters of a two-parameter rectangular distribution and its characterization by k-th

... the best linear unbiased estimates of the parameters of a two- parameter rectangular distribution have been obtained using some properties of the k-th record ...the best linear ...

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