Sentence examples for estimates were computed using from inspiring English sources
Estimates were computed using the inverse-probability-weighted estimator (IPWE) (Zhang et al. 2013) and confidence intervals using the non-parametric bootstrap.
These estimates were computed using a counterfactual exposure scenario, which implemented the G-computation method as described by Fleischer et al. (2010).
The class probability estimates were computed using the option "−b" of LIBSVM [65].
After this, in Section 2.2 we explained how these isophote orientation estimates were computed using the linear structure tensor.
Standard errors and corresponding 95% confidence intervals for these national estimates were computed using methodology that accounts for the complex survey design properties for variance estimation (Chen and Gorrell 2008).
Confidence intervals (95%) around the PSE estimates were computed using the delta method [54].
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 channel frequency response estimates are computed using (8) using polynomial regressors of the order p=0,1,2.
The delayed PVA and gyro bias estimates are computed using a uniformly semiglobally exponentially stable (USGES) nonlinear observer.
Error estimates are computed using an adjoint-weighted residual, where the discrete adjoint is computed on a finer space obtained by order enrichment of the primal space.
