Sentence examples for matrix and robust from inspiring English sources

Thus, the resulting analytical solution explicitly offers all remaining mp−n degrees of freedom beyond eigenvalue assignment which can be used for additional design goals such as response shaping, minimizing the norm of the feedback matrix, and robust control, respectively.

An exchangeable working correlation matrix and robust standard errors were used, with data clustered at the facility level.

As a sensitivity analysis, model estimates were also obtained using a generalized estimating equations (GEE) with an exchangeable working correlation matrix and robust standard errors.

We used a generalized estimating equations (GEE) model (with an exchangeable correlation matrix and robust standard errors) when analysing the dichotomized outcome, fitness level [ 35].

The analysis specified an autoregressive (order 1) correlation matrix and robust standard errors and tested linear and quadratic effects of time.

We also analyzed the data using generalized estimating equations (GEE) with an exchangeable working correlation matrix and robust SEs to adjust for autocorrelation in the data.

Results for both outcomes were obtained using univariable and multivariable logistic regression, using population-averaged, generalised estimating equations with exchangeable correlation matrices and robust SEs, thereby accounting for correlation of observations by practice and assessing patient-level associations across England.

For all models, we used an unstructured working correlation matrix and a robust estimator covariance matrix.

To present our ordinal raw data we calculated univariate frequency distributions of KKG items based on subsample A. Data were treated as ordinal calculating polychoric correlation and asymptotic covariance matrices and using robust diagonal weighted least squares (robust DWLS) estimation method [ 32, 53].

TS fuzzy systems are classified into three families based on the input matrices and a robust fuzzy controller's synthesis procedure is given for each family.

Thus, the proximity matrix gives robust and reproducible clustering, and enables us to classify responders and non-responders and to extract outliers, which is clinically valuable for selection of candidates for FOLFOX therapy.