Credit scoring is a kind of binary classification problem that contains important information for manager to make a decision in particularly in banking authorities. Obtained scores provide a practical credit decision for a loan officer to classify clients to reject or accept for payment loan. For this sake, in this paper a data envelopment analysis- discriminant analysis (DEA-DA) approach is us...

BACKGROUND More than a decade ago, the city of Philadelphia began allowing police transport of penetrating trauma patients. OBJECTIVES   The objective was to determine the relation between prehospital mode of transport (police department [PD] vs. Philadelphia Fire Department (PFD) emergency medical services [EMS]) and survival in subjects with proximal penetrating trauma. METHODS The author...

introduction: trauma is the most common cause of mortality in the 1 to 44 years age group and third leading cause of mortality in the world. in general, determination of defects caused by trauma has an essential role in management of traumatic patients. use of scoring systems for evaluation of static and dynamic states of traumatic events can decrease the mortality and morbidity rates. differen...

For any strictly proper scoring rule, we provide a full dual characterization of the optimal announcement of an agent with a quasiconcave, continuous, and increasing utility function. The dual characterization leverages the notion of indirect utility. We use this characterization to construct a strictly proper scoring rule which uniformly bounds misreports when risk aversion is bounded above by...

This study aimed at investigating the reliability, predictive validity, and self-esteem and gender bias of confidence-based scoring. This is a method of scoring in which the test takers receive a positive or negative point based on their rating of their confidence in an answer. The participants, who were 49 English-major students taking their grammar course, were given 8 multiple-choice tests d...

The theoretical probability of misclassification in a mastery test is exactly computed using the raw score probability distribution (in the Rasch model) as a function of the examinee's latent ability. The resulting misclassification probability curve, together with the latent ability distribution in the group of examinees, completely determines the expected rate of classification errors. It is ...

E-rater® has been used by the Educational Testing Service for automated essay scoring since 1999. This paper describes a new version of e-rater (V.2) that is different from other automated essay scoring systems in several important respects. The main innovations of e-rater V.2 are a small, intuitive, and meaningful set of features used for scoring; a single scoring model and standards can be us...