Sentence examples for matrix to estimate from inspiring English sources

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.

This was confirmed by using a maximum likelihood amino acid model (WAG amino acid matrix) to estimate sequence distances between the C. atys and M. mulatta orthologues (Extended Data Fig. 1).

For individual data, we applied two design matrices, the Time design matrix and the Orientation design matrix, to estimate the beta values for each duration and orientation parameter of S1.

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.

We used a series of linear mixed effects models with an unstructured residual covariance matrix to estimate the between- and within-subject differences in the mean likelihood of engaging in risky sexual behavior across the PrEP and non-PrEP contexts.

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].

The data sets were combined in a super-matrix to estimate a total evidence tree.

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.