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Accuracy estimates are computed using logistic regression to determine the best combinations of factors.
Efficiency estimates are computed using multivariate copulas to control for time (trend) and individual (DMU) effects.
The delayed PVA and gyro bias estimates are computed using a uniformly semiglobally exponentially stable (USGES) nonlinear observer.
The estimates are computed on a fixed grid and do not require an embedded grid or explicit interpolation operators.
The motion estimates are computed in a sound probabilistic framework by performing inference on a probabilistic graphical model.
Equilibrium paths and limit load estimates are computed for both analysis approaches for a range of column aspect ratios and load eccentricities.
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For survival analysis, Kaplan Meier estimates were calculated to compute survival curves using the survminer-package.
Sensitivity and specificity estimates were computed for the validity analysis.
The 95% Confidence Interval (CI) of parameter estimates was computed using the outcome of the bootstrap method56.
Heritability estimates were computed for local curvature phenotypes corresponding to single landmarks and the results were combined to generate face heritability maps.
For studies involving comparisons between poor sleepers and healthy controls, effect size estimates were computed for task-relevant dependent variables.
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