This paper studies model selection for a general class of models based on minimizing random distance functions. The proposed model selection criteria are consistent, regardless of whether models are nested or nonnested and regardless of whether models are correctly specified or not, in the sense that they select the best model with the least number of parameters with probability converging to 1...

This report summarizes the selection process performed in order to ensure a modelling language of sufficient quality for describing processes based on multiple software quality models and standards. UML activity diagrams, EPCs and BPMNs are compared based on well-defined criteria: intelligibility, ability of expressing process elements and workflow patterns, software support, portability and wi...

In the current work, a framework is presented for amine solvent selection in gas treating process. Since the appropriate decision making in this field affects the capital and operational costs, multi attribute decision making (MADM) techniques were used to rank alternatives. The determination of criteria and alternatives is the most important aspect in the MADM. Criteria were divided into two c...

In this note we introduce some divergence-based model selection criteria. These criteria are defined by estimators of the expected overall discrepancy between the true unknown model and the candidate model, using dual representations of divergences and associated minimum divergence estimators. It is shown that the proposed criteria are asymptotically unbiased. The influence functions of these c...