Sentence examples for mean model for from inspiring English sources

Estimating equations are determined by the efficient score under a mean model for marginal effects when data contain baseline covariates and exhibit correlation.

These patients had a mean Model for End-Stage Liver Disease (MELD) scofe of 24.17±11.26 and serum ammonia averaged 104.46±73.08μmol/L.

This suggests that most of the observed difference to the arithmetic mean model for epoch 2015.0 was caused by the SV model used to forecast the main field from earlier epoch to epoch 2015.0.

The largest difference in magnitude is for the coefficient ({h_{1}^{1}}) of the candidate model J. Model H is close to the mean model for the zonal terms for SH degrees 2 and 3 but then increases for zonal terms for SH degrees 4 6, which explains the rise in the power spectrum of its difference to the mean model for these degrees (Fig. 4-left).

The difference to the mean model for other models do not have clear characteristics except maybe for model A, showing a large difference for SH degree 5, and for model I, comparing well to the mean model up to SH degree 4 but then showing stronger differences.

The model I compares better to the mean model for the SH degree 1 3 but the differences then increase with the degree and finally differs from the M model as much as models D and J at larger SH degrees.

First, we describe the performance of mean models for healthy volunteers and T1DM patients.

Notes: The estimates of the conditional covariance correspond to the fitted values of the DCC MGARCH-in-mean model for the case of no time variation in the price of risk.

Because the serum PFOA concentrations appear to be lognormally distributed, the log transformation is appropriate for both the mean model and for the residuals.

Forecast anomalies have been estimated by removing the mean model climate for the specific forecast period using only the predictions for which there are observational reference data available25.

Mean model estimates for various groups were prepared by inserting the mean parameter values into the untransformed final models.