Sentence examples for known coefficient from inspiring English sources

This model is a Cox model, including the log expected hazards as a time-dependent covariate with a known coefficient fixed to 1 (offset).

Third, the right-hand side of (11) can be formed by multiplying the now known coefficient matrix by the known vector of EBV for PA and individual.

The degree of unrelatedness (d ur ) corresponds directly to the complement of the well known coefficient of consanguinity (relatedness, kinship: the probability of drawing from two individuals two genes which are identical by descent or state).

Data modeling: Submodel j (∈ S i ) for i is defined as the sum of the interactions of the submodel relative to a reference, i.e. ∑ k w ij k (λ w ) e k, where w ij k is either a known coefficient or a known function of λ w.

Furthermore, the nonlinear modal equations in intrinsic coordinates are obtained from integrals involving only products of the mode shapes and known coefficients.

Firstly, the roll motion of a vessel is simulated by using the known coefficients from literature, and the simulated data are used to identify the coefficients in the roll motion equation.

In the frame of the traditional wavelet-Galerkin method based on the compactly supported wavelets, it is important to calculate the so-called connection coefficients that are some integrals whose integrands involve products of wavelets, their derivatives as well as some known coefficients in considered differential equations.

After training, each application of the trained ANN is an estimation of a simple algebraic expression with known coefficients and is executed practically instantaneously.

kern-0pt} a})) and (f_{KL} ({mathbf{X}};{mathbf{A}})) with fixed and known coefficients, so that a minimum of both functions is achieved at the same point.

It initializes the dictionary through a K-mean clustering process and updates the dictionary atoms assuming known coefficients until it satisfies the sparsity level.

These observations should give us caution when using the models to predict the solvent coefficients for novel solvents, especially when they do not lie within the chemical space established by solvents with known coefficients.