Results 1 to 10 of about 706,502 (262)
Genome-Wide Association Study Based on Random Regression Model Reveals Candidate Genes Associated with Longitudinal Data in Chinese Simmental Beef Cattle [PDF]
Animals, 2021 Body weight (BW) is an important longitudinal trait that directly described the growth gain of bovine in production. However, previous genome-wide association study (GWAS) mainly focused on the single-record traits, with less attention paid to ...
Lili Du +9 more
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A random regression model for total litter weight in mice. [PDF]
J Anim SciAbstract Measuring litter weight (LW) as a summary trait in multiparous animal species is less cost-intensive than individual birth weight. We propose a random regression model for total LW, where the genetic effects of dams and sires are modeled as linear random regression slopes on litter size with potentially different variances ...
Jahnel RE, Langhammer M, Reinsch N.
europepmc +3 more sources
Estimating covariance functions for longitudinal data using a random regression model
Genetics Selection Evolution, 1998 Meyer Karin
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Journal of New Theory, 2022 Multivariate Adaptive Regression Splines (MARS) is a supervised learning model in machine learning, not obtained by an ensemble learning method. Ensemble learning methods are gathered from samples comprising hundreds or thousands of learners that serve ...
Mehmet Ali Cengiz, Dilek Sabancı
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The Log-Logistic Regression Model Under Random Censoring [PDF]
The Egyptian Statistical Journal, 2006 A regression analysis of the failure time is considered when the failure time is a random censored and has the log-logistic distribution. The regression model has been used to identify the relationship between the failure time and the explanatory ...
Essam Ahmed, A. Attia, Iman Darweesh
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Model-based random forests for ordinal regression [PDF]
The International Journal of Biostatistics, 2020 Abstract We study and compare several variants of random forests tailored to prognostic models for ordinal outcomes. Models of the conditional odds function are employed to understand the various random forest flavours. Existing random forest variants for ordinal outcomes, such as Ordinal Forests and Conditional Inference Forests, are
Buri, Muriel, Hothorn, Torsten
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Coefficient of Determination for Random Coefficient Regression Model. [PDF]
The Egyptian Statistical Journal, 1998 Random coefficient regression (RCR) model offers an approach by which to take into account nonsystematic changes in the parameters. Swamy (1970,1971) derived estimators of the RCR model parameters.
Ahmed Youssef
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Random partition models with regression on covariates [PDF]
Journal of Statistical Planning and Inference, 2010 Many recent applications of nonparametric Bayesian inference use random partition models, i.e. probability models for clustering a set of experimental units. We review the popular basic constructions. We then focus on an interesting extension of such models.
Muellner, Peter, Quintana, Fernando
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Journal of Dairy Science, 2023 : The shape of the lactation curve is linked to an animal's health, feed requirements, and milk production throughout the year. Random regression models (RRM) are widely used for genetic evaluation of total milk production throughout the lactation and ...
M. Arnal +3 more
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Italian Journal of Animal Science, 2021 Genetic parameters of litter size (LS) and number of kids born alive (NBA) were estimated across parities in Florida and Payoya goat breeds using a threshold random regression model (RRM).
Chiraz Ziadi +5 more
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