In the case of multiple candidate process models, model discrimination is then performed to choose the best representative one by comparing posterior probability shares.
Because the covariate selection process involved fitting multiple candidate models to the same data, we used set 10 to assess whether the covariate selection process contributed to overfitting, as reported above.
Since the covariate selection process involved fitting multiple candidate models to the same data, set 10 was reserved (i.e., not used for model fitting) to assess whether the covariate selection process contributed to over-fitting.
Some voters said that having multiple candidates complicated the process.
This EST library will be the first step in elucidating the complex mechanisms determining fungal pathogenicity, through the study of multiple candidate genes that are potentially implicated in the infection process.
In addition, this approach provides designers with multiple candidate designs.
Finally, for the multiple candidate technique is given by (12).
Taking the limit of single candidate target, we consider multiple candidate targets.
Sometimes, multiple candidate norms vie for dominance in a population.
However, we suggest using our PDF (multiple candidates) to obtain the theoretical error performance and also the statistical channel capacity for the multiple candidate system.
