Results 61 to 70 of about 20,754 (222)
Handling Out‐of‐Sample Areas to Estimate the Unemployment Rate at Local Labour Market Areas in Italy
International Statistical Review, EarlyView.Summary Unemployment rate estimates for small areas are used to efficiently support the distribution of services and the allocation of resources, grants and funding. A Fay–Herriot type model is the most used tool to obtain these estimates. Under this approach out‐of‐sample areas require some synthetic estimates. As the geographical context is extremely
Roberto Benedetti +4 more
wiley +1 more source
Simultaneous fitting of genomic-BLUP and Bayes-C components in a genomic prediction model
Genetics Selection Evolution, 2017 Background The rapid adoption of genomic selection is due to two key factors: availability of both high-throughput dense genotyping and statistical methods to estimate and predict breeding values.
Oscar O. M. Iheshiulor +4 more
doaj +1 more source
Comparison of heritability estimates of first lactation fertility traits in Mehsana buffaloes
Indian Journal of Animal Sciences, 2021 First lactation records of 3068 Mehsana buffaloes sired by 118 sires, under field progeny testing programme distributed in different 149 villages of 14 talukas maintained at Dudhsagar Research and Development Association, Dudhsagar Dairy, Mehsana over a
P B PUROHIT +7 more
doaj +1 more source
International Statistical Review, EarlyView.Summary Defining a ‘hat‐matrix’ for a model is essential in many model diagnostic procedures, as it acts as an orthogonal projector from the observation space to the model space. In this paper, we introduce a unique Hat‐matrix for the class of hierarchical generalised linear models (HGLMs), which includes, as a special case, the subclass of generalised
Gianfranco Lovison +3 more
wiley +1 more source
Unknown parent groups and truncated pedigree in single-step genomic evaluations of Murrah buffaloes
Journal of Dairy Science: Missing pedigrees may produce bias in genomic evaluations. Thus, strategies to deal with this problem have been proposed as using unknown parent groups (UPG) or truncated pedigrees.
T.P. Melo +11 more
doaj +1 more source
The Misuse of BLUP in Ecology and Evolution
The American Naturalist, 2010 Best linear unbiased prediction (BLUP) is a method for obtaining point estimates of a random effect in a mixed effect model. Over the past decade it has been used extensively in ecology and evolutionary biology to predict individual breeding values and reaction norms.
Hadfield, Jarrod D. +4 more
openaire +3 more sources
Regularity dependence of the rate of convergence of the learning curve for Gaussian process regression [PDF]
, 2012 This paper deals with the speed of convergence of the learning curve in a Gaussian process regression framework. The learning curve describes the average generalization error of the Gaussian process used for the regression.
Garnier, Josselin, Gratiet, Loic Le
core +2 more sources
Journal of Animal Breeding and Genetics, EarlyView.ABSTRACT This study evaluated the influence of variance component (VC) estimates, obtained from different models and two relationship matrices, pedigree‐based (BLUP) and genomic information‐based (ssGBLUP), on genomic predictions of carcass traits in Montana composite cattle.
Caroline Assis Almeida +9 more
wiley +1 more source
Some remarks on a pair of seemingly unrelated regression models
Open Mathematics, 2019 Linear regression models are foundation of current statistical theory and have been a prominent object of study in statistical data analysis and inference.
Hou Jian, Zhao Yong
doaj +1 more source
Single-step SNP-BLUP with on-the-fly imputed genotypes and residual polygenic effects
Genetics Selection Evolution, 2017 Background Single-step genomic best linear unbiased prediction (BLUP) evaluation combines relationship information from pedigree and genomic marker data.
Matti Taskinen +2 more
doaj +1 more source