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Three multivariate linear models were fitted to the data.
Multivariate linear models were used to compare milk composition and health status between quarter types.
The implementation of a new procedure for the determination of multiple multivariate linear models with latent factors is described.
In effect, the system of coupled ordinary differential equations can be replaced by multivariate linear models, which can be used as surrogate models.
For the linear model with an inequality constraint, [25 28] studied the admissibility of linear estimator of parameters in the univariate and multivariate linear models under the quadratic and matrix loss, respectively.
In order to determine the variables that drive healthcare costs and LOS of open tibial fractures, three multivariate linear models were fitted to the data (in the form of y = a + b 1 x 1 + ⋯ + b n x n ).
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It is easy to generalize the conclusions from univariate linear model to multivariate linear model.
In the case of, model (1.1) degenerates to the general multivariate linear model without restrictions.
Consider the general multivariate linear model with respect to inequality restricted parameter set: (1.1).
Markiewicz [7] discussed the admissibility in the general multivariate linear model.
From this Theorem, we can easily generalize the result under univariate linear model to the case under multivariate linear model in the class of homogeneous linear estimators.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com