Sentence examples for mixed model formulation from inspiring English sources

Then the mean of the posterior distribution m ^ B R R is equivalent to m ^ R R if λ = σ β − 2 σ 2. The BLUP theory and the mixed model formulation were first discussed by Henderson (1949), and they were influential for selection purposes in animal breeding (Henderson 1959).

One of the main attractions of the reduced rank model is that it provides a mixed model formulation which allows for genetic covariance matrices that are not of full rank, i.e. it alleviates the need for approximating a reduced rank matrix by a full rank one as required to in the standard MUV implementation (8).

At least two methods provide unified frameworks for mapping point-based epidemiologic data, adjusting for covariates, and hypothesis testing: generalized linear mixed model formulations of kriging [ 15, 23, 26, 27] and generalized additive models (GAMs) using bivariate kernel or loess smoothers [ 18, 19, 23].

Unknown confounding effects are represented as a random variable in a mixed-model formulation of coexpression.

A mixed mesh model formulation with LTS is recommended as a general purpose solver because the mesh type can be adapted to maximize computational efficiency.

Another advantage of the mixed effects model formulation is the inherent shrinkage of subject-specific elimination rates toward the mean, providing more reliable estimation for subjects with extreme half-lives (Pinheiro and Bates 2000).

Using standard linear mixed effects model formulation, we assume the random effects and residual errors are independent and normally distributed: u j ∼ N 0, σ 1 2 ; v jk ∼ N 0, σ 2 2 ; and ϵ ijkl ∼ N 0, σ 3 2, yielding three variance components in the model (that is, σ1, σ2 and σ3).

4, a mixed integer programming model formulation is presented.

In this paper, the resource provisioning over multiple clouds is addressed by mixed integer programming model formulation using AIMMS [4] modeling language, which provides access to a wide range of solvers including CPLEX and GUROBI.

A mixed model for forest policy formulation is discussed.

The model formulation is a mixed-integer linear optimisation and can be understood as hybrid between a generation expansion and a unit commitment model.