Results 21 to 30 of about 46,545 (326)
An Information Integration Strategy based on REML [PDF]
Advances in Engineering Research, 2015 The paper introduces a strategy "Integration of heterogeneous information in the Distributed System based on REML". In the strategy, we wrap different formats, distributed heterogeneous information into the unified REML information, and make it to be re-utilized by Web Service which is a method of communication between some electronic devices or ...
Jie Zhang, Lijun Zhou, Yuan Zhao
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Exact and approximate REML for heteroscedastic regression [PDF]
Statistical Modelling, 2001 Exact REML for heteroscedastic linear models is compared with a number of approximate REML methods which have been proposed in the literature, especially with the methods proposed by Lee and Nelder (LN98) and Smyth and Verbyla (SV99) for simultaneous mean-dispersion modelling in generalized linear models.
Smyth, G., Huele, F., Verbyla, A.
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Acta Scientiarum: Agronomy, 2010 Objetivou-se classificar e selecionar clones de batata-doce, utilizando-se a metodologia REML/BLUP. O experimento foi conduzido no município de Rio Largo, Estado de Alagoas, situado a 127 m de altitude, com latitude 9º27’S e longitude 35º27’W. Foram avaliados cinco clones (CL-2, CL-3, CL-4, CL-6 e CL-8) em delineamento experimental de blocos completos ...
Vanderley Borges +4 more
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Efficient ReML inference in variance component mixed models using a Min-Max algorithm.
PLoS Computational Biology, 2022 Since their introduction in the 50's, variance component mixed models have been widely used in many application fields. In this context, ReML estimation is by far the most popular procedure to infer the variance components of the model.
Fabien Laporte +2 more
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Regularization for Generalized Additive Mixed Models by Likelihood-Based Boosting [PDF]
, 2011 With the emergence of semi- and nonparametric regression the generalized linear mixed model has been expanded to account for additive predictors. In the present paper an approach to variable selection is proposed that works for generalized additive mixed
Groll, Andreas, Tutz, Gerhard
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LIMA BEAN POPULATIONS ASSESSMENTS VIA REML/BLUP METHODOLOGY
Revista Caatinga, 2022 ABSTRACT - Based on its nutritional and economic value, the lima bean (Phaseolus lunatus L.) is the second most important species of the genus. It has high genetic diversity and potential for production and is considered an alternative food and income source.
JHESSICA LANNA RODRIGUES DE CARVALHO +5 more
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Scientific Papers Animal Science and Biotechnologies, 2023 The aim of this study was to estimate the genetic parameters and breeding values for body weight and linear body measurements namely body length, heart girth, height at withers, hip height and tail length of cattle.
Ifeanyichukwu Udeh +2 more
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Czech Journal of Animal Science, 2013 Genetic parameters for total number of piglets born per litter, number of piglets weaned per litter, lean meat content, and average daily gain from birth till the end of the field test were estimated for Czech Large White (445 589 records) and Czech ...
E. Krupa, J. Wolf
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Addressing spatial variability in provenance experiments exemplified in two trials with black spruce
Journal of Forest Science, 2007 Two exemplary black spruce (Picea mariana [Mill.] B.S.P.) provenance trials were analyzed using traditional and spatial techniques. The objective was to find out possible differences between these approaches in terms of both the resulting fit-statistics ...
T. Funda +4 more
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Predicted Residual Error Sum of Squares of Mixed Models: An Application for Genomic Prediction. [PDF]
, 2017 Genomic prediction is a statistical method to predict phenotypes of polygenic traits using high-throughput genomic data. Most diseases and behaviors in humans and animals are polygenic traits. The majority of agronomic traits in crops are also polygenic.
Xu, Shizhong
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