Sentence examples for mean predictions and from inspiring English sources

Path loss models are used together with Gaussian processes to compute mean predictions and most importantly, to bound Gaussian processes' predicted variances.

Prediction performance on the absolute HbA1c scale was evaluated by comparing mean predictions and mean observations for each method and for each treatment arm at 26 28 weeks, depending on study.

Because a Monte Carlo-based uncertainty analysis is computationally very demanding, especially when complex models are involved, we developed a fast indicative uncertainty assessment method that allows for generating proxies of the Monte Carlo-based result in terms of the mean prediction and its associated uncertainty based on a single model evaluation.

We generated a prediction map from each of these submodels and calculated both the mean prediction and 95% confidence interval around the prediction for each 5 km × 5 km pixel for each species.

Similarly, we generated a prediction map from each of these models and calculated both the mean prediction and corresponding 95% confidence intervals for each pixel and analysed prediction accuracy using the same stringent cross validation and sensitivity analysis procedure as for the bat distribution models (detailed above).

In Table 2 presents the overall and subgroup univariate mean predictions for AOL and the observed OS in patients who underwent surgery and received 5-FU based chemotherapy.

The performance of each method was evaluated based on its ability to predict mean HbA1c at 26/28 weeks in each arm (by mean prediction error and RMSE) and on its ability to predict trial outcome expressed as the difference in treatment effect vs. comparator.

The mean predictions for GHSV and RMH patients carrying a BRCA1 or BRCA2 mutation were 0.22 and 0.19, respectively, as determined by either the BRCAPRO or the MYRIAD II statistical model [ 25].

The first three rows of Table  4 present the decomposition output of the mean predictions by groups and their difference.

The data were analysed to compare the mean prediction error and the accuracy of predictability of intraocular lens power calculation between SRK II and Pediatric IOL Calculator.

We evaluated the performance of five different taper equations in estimating upper stem diameters and cubic volume including top and stump (CVTS) of Douglas-fir and western hemlock trees based on mean prediction bias and RMSE they produced.