Sentence examples for matrices to estimate from inspiring English sources
Because HRQOL responses tend to be distributed nonnormally and because nonnormality inflates the goodness-of-fit chi-square, reduces standard errors, and exaggerates statistical significance, we also analyzed the KDCS and SF-36 data using robust maximum likelihood estimation, by analyzing the asymptotic covariance matrices to estimate the Satorra-Bentler scaled chi-square value [ 59].
These results were compared with reports across studies that used different biologic matrices to estimate Hg exposure.
In this study, we constructed genetic covariance structures from whole-genome marker data, and thus used realized relationship matrices to estimate variance components in a heterogenous population of ~ 2200 mice for which four complex traits were investigated.
These are estimated via an iterative optimisation procedure (we used identity matrices as starting forms) minimising the error of a multivariate GLS model that uses the alpha and sigma matrices to estimate the vector of optima q and the expected multivariate phenotype for each species (terminal branches) in the tree.
The first one performs the 2D AOA estimation by considering the eigenvalues of the crosscorrelation matrix to estimate the azimuth angles and their corresponding eigenvectors to estimate their corresponding elevation angles.
Each subarray uses extended correlation matrix to estimate AOA.
It exploits the property of the inverse of the covariance matrix to estimate the angular parameters.
For instance, Aktuğ et al. (2010) has employed the Laplacian matrix for the Tykhonov matrix to estimate the slip distribution from coseismic GPS displacements.
The command automatically accommodates the longitudinal nature of the data; hence, users only need to provide the cross-sectional n × n weight matrix to estimate the model.
Similarly, Aktuğ (2012) derived a necessary specificTykhonov matrix to estimate the datum transformation parameters from a set of distorted terrestrial network coordinates.
In Equation 26, since the matrix Σ is singular, we cannot directly calculate its inverse matrix to estimate the missing high-frequency components h and obtain the original HR image.
