For the intranasal studies, AIC recommends the beta-Poisson over the exponential functions (Table 1), which is consistent with graphical display of the models (Additional file 1: Figures S1-S3).
Noticeably, based on subjects' reports, we found that Inverted display recognition was modulated by the previous display of the Upright model.
A graphical display of the proposed model is shown in Figure 1.
The modified model explained 21% of the variance in PCS and 20% of the variance in MCS. Figure 2 gives a graphical display of the modified model, and Additional file 1; Table S1 gives the parameter estimates.
But the display of the plaster models for the reliefs is studied and rather sterile.
Furthermore, a structure is introduced into the model to display the ability of the model to accurately predict wave structure interaction.
Some of those were developed to facilitate the process of data entry and the others to display the output of the model.
Model output and display: the output of the model is the position of the cleaning module with the maximum activation level at iteration i(ma i ).
Quantile probability plots were generated in order to display the quality of the model's fits to the data (see Fig. 4).
Column (1) displays the estimates of the model for the raw level of discrimination including as additional regressor the share of immigrants at the ZIP code level (({textit{ZIP-Img-Share}}_{i})) interacted with the immigrant indicator.
