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Exact(57)
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).
It is easy to generalize the conclusions from univariate linear model to multivariate linear model.
Markiewicz [7] discussed the admissibility in the general multivariate linear model.
In subsequent analyses a multivariate linear model was built using LOS as a dependent variable and the non-stay related variables as independent variables.
The variables that received a non-negative coefficient after the Lasso fit were then used to fit a multivariate linear model.
Qin et al. [14] studied the admissibility of the estimators of estimable function under the loss function in multivariate linear model with respect to restricted parameter set when.
In order to determine the importance of the clinical variables for driving healthcare costs, a multivariate linear model was fitted using total healthcare costs as the dependent variable.
Similar(3)
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.
More suggestions(14)
dimensional linear model
varying linear model
multivariate linear modelling
multivariate linear models
multivariate linear regression
multivariate linear equation
multivariate analysis model
multivariate response model
multivariate risk model
multivariate trend model
multivariate prediction model
multivariate survival model
multivariate regression model
multivariate stepwise model
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