Sentence examples for errors of the structural from inspiring English sources

Σ is the covariance matrix of the residual errors of the measurement model (ε i ), and Ψ is the covariance matrix of the residual errors of the structural model (ζ i ).

The second Fleishman/Mattson distribution we used results in a variance of 1, skewness of 1.75 and kurtosis of 3.75 of the residual errors of the measurement model and skewness of (1.2, 1.4 and 1.8) and kurtosis of (0.4, 0.5 and 0.8) for the three residual errors of the structural model, respectively.

The first results in a variance of 1, a skewness of 0.75 and kurtosis of 0 for the residual errors of the measurement model and skewness of (0.53, 0.5 and 0.75) and kurtosis of (-1.5, -1.9 and -3) for the three residual errors of the structural model, respectively.

In the structural model, B is a matrix of coefficients (where the diagonal elements are zeros) associated with U i, Γ is a matrix of coefficients associated with Z i and ζ i is a vector of random residual errors for the structural part of the model.

The proficiency for the whole character is then calculated from the group-level proficiencies, taking further account of any errors in the structural arrangement of groups within the character.

Similar trends were observed for the contaminated normal distribution on the residual errors of the measurement and structural models although model performance declined for both the SEM and LMM2.

One fundamental characteristic of both diseases is tissue failure: namely, errors in the structural organization and function of cells in the affected tissues.

The NN model is adopted to deal with the modeling errors of nonlinear structural systems under external excitation.

The paper has as objective the estimation of the error in the structural analysis performed by using the displacement approach of the Symmetric Galerkin Boundary Element Method (SGBEM) and suggests a strategy able to reduce this error through an appropriate change of the boundary discretization.

The conventionally applied k3-weighting of the data was compared to k1-weighting and weighting by the inverse of the statistical error in the refinement of the structural parameters of PtO2.

The goal is the measurement and control of the global error without any knowledge of the structural dynamics of the noise source, based on an acoustic centric decomposition approach that is applicable to any noise source.