A mixed integer programming model is proposed for multiple-class discriminant and classification analysis. When multiple discriminant functions, one for each class, are constructed with the mixed integer programming model, the number of misclassified observations in the sample is minimized. Although having its own right, this model may be considered as a generalization of mixed integer programm...

The present study compares the performance of stochastic and fuzzy models for the analysis of the relationship between clinical signs and diagnosis. Data obtained for 153 children concerning diagnosis (pneumonia, other non-pneumonia diseases, absence of disease) and seven clinical signs were divided into two samples, one for analysis and other for validation. The former was used to derive relat...

The assessment of ®nancial risks is a problem of major interest for corporate entities (organizations, ®nancial institutions, ®rms, etc.). The vulnerable economic and ®nancial environments necessitate the development of operational approaches to measure and control ®nancial risks. Most of the methodologies that have been proposed in the past employ a probabilistic notion of risk. This paper pro...

The in situ detection and identification of environmental microorganisms is important for general microbial ecology research. In addition, the rapid detection of microbial contamination in food-processing plants is essential. The current paper proposes a method for the rapid detection and identification of microorganisms using spectral imaging. Photosynthetic and non-photosynthetic bacterial co...

This study represent an assessment of the feasibility of using optical and near infra-red wavelengths to map water depth and substrate type which are two of the primary components of river physical habitat. The objective was met by measuring reflectance using field spectroscopy of exposed and then progressively submerged (0–1 m) artificial substrates during rising tides on a tidal reach of the ...

Predicting business failure of listed companies is a hot topic because of the emergency of financial crisis in developed countries recently. The two classical statistical methods of multivariate discriminant analysis (MDA) and logistic regression (logit) have taken a key role in the area of business failure prediction (BFP). However, they are frequently criticized for the relative low predictiv...