Sentence examples for model bias is from inspiring English sources
A systematic design method for mass flow estimation with correction for model bias is proposed.
The model bias is determined by comparison to a new gridded high resolution (1 km) data set of temperature and precipitation, which is also used as reference for the corrections.
While wet inorganic N deposition model bias is only one source of uncertainty that can affect critical load and exceedance calculations, results demonstrate expressing bias as a percentage of critical loads at a spatial scale consistent with calculations may be a useful exercise for those performing calculations.
The ideal starting model (e.g. one with least model bias) is difficult to obtain a priori, however it is possible to test multiple sieved models and assess the refinement process using statistically robust validation, providing a generally applicable method for model bias reduction.
Model bias is necessarily, and routinely, corrected as a postprocessing step [ Stockdale, 1997; International CLIVAR Project Office, 2011].
Another way to examine model bias is by examining the distribution of p value under null hypothesis (with no DE genes).
Model bias was determined through plotting predicted against measured values.
Model bias was examined by plotting actual values against predictions and predicted values against residual values and dependant variables included in each model.
Model bias was determined through plotting predicted GRper against measured GRper, and residual values (measured GRper – predicted values) against predicted GRper and all independent variables in the model.
Model bias was assessed through the mean error, with error for each observation in the validation dataset defined as the measured value minus the predicted value.
Model bias was examined through plotting predicted against measured values of the 300 Index and residual values of the 300 Index (measured 300 Index − predicted 300 Index) against predicted values and all independent variables in the model.
