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The predicted nhc were subsequently used in marker-assisted breeding value estimation by applying random regression on these covariables.
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We enhanced such concepts by defining continuous phenotypic, genetic, and genomic herd descriptors, and applying random regression sire models.
We have demonstrated the use of a Bayesian MCMC approach to apply random regression models to negative binomially distributed data.
To apply random regressions, pathogen burden of individuals needs to be recorded.
If we found substantial heterogeneity across cities, beyond the variation associated with the effect modifiers, we applied random-effects regression models.
To the best of the authors' knowledge, this paper is the first to apply random forest or quantile regression techniques to the machining domain.
Sequence data at the hypervariable complementarity determining region 3 (CDR3) in the TCRB gene locus were evaluated by applying a random-coefficient statistical regression model.
And then selection of participants was made by applying simple random sampling procedure using random number table.
The potential regression-to-the-mean problem is addressed by applying the ANCOVA regression approach.
If y i and x i are observed directly from a random sample, one can estimate ρ 1 in Eq. (1) by applying least squares regression.
This was taken into account first by applying the random effect model.
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