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EN
Variable selection is one of the most pervasive model selection problems in statistical applications. Often referred to as the problem of subset selection, it arises when one wants to model the relationship between a variable of interest and a subset of potential explanatory variables or predictors, but there is uncertainty about which subset to use. Several papers have dealt with various aspects of the problem, but it appears that the typical regression user has not benefited appreciably. One reason for the lack of resolution of the problem is the fact that it is has not been well defined. Indeed, it is apparent that there is not a single problem but rather several problems for which different answers might be appropriate. The intent of this paper is not to give specific answers but merely to present new variable selection criteria. The variables which optimize the criteria are chosen to be the best variables. We find that the new criteria perform consistently well across a wide variety of variable selection problems. The area of their applications includes, in particular, business process simulation, resource management, economics, stochastic models, operation and production management, supply chain management, logistics, risk analysis, scheduling, forecasting, cost benefit analysis, and financial models. The practical utility of these criteria is demonstrated by numerical examples.
EN
The purpose of this investigation was to examine the importance that university students attach to cognitive variables in their emotional experiences. Specifically, the following variables were assessed: knowledge of emotional content, control of mood states and emotional reactions, generation of emotions that facilitate reflection, and appraisal of the effects of one's emotions on interpersonal behaviours. The study was carried out on a sample of 398 participants, male and female, students of humanities and social sciences and economic sciences and engineering, aged between 18 and 25 years. A 20-item questionnaire was elaborated and validated (the Cognition/Affect Questionnaire, CAQ) and rated on a response scale ranging from 1 (not at all important) to 5 (extremely important). The results show that the university students assessed differed significantly in the importance they attached to knowledge of emotions as a function of the degree studied, to control of mood states and emotional reactions as a function of age, and to social consequences of emotions as a function of their sex. They also show that the CAQ is a reliable and valid instrument. The implications for future research are discussed.
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