A major drawback associated with the use of classical statistical methods for business failure prediction on top of financial distress is their lack of high accuracy rate. This work analyses the use of the two-stage ensemble of multivariate discriminant analysis (MDA) and logit to improve predictive performance of classical statistical methods. All possible ratios are firstly built from the qua...

iron is one of the most important nutrients in the human diet. according to the high consumption of staple foods such as wheat, the deficiency of iron in these crops would lead to nutritional disorders and related complications. to identify microsatellite markers associated with wheat grain iron content,38iranian prevalent wheat genotypes were assessed using 30 pairs of genomic and est microsat...

The aim of this research was to understand the strategic uses of e-business systems and technologies by classifying companies and particularly small and medium businesses according to demographics as well as e-business behavior variables.The study was based on data from a large quantitative survey of European E-business W@tch for the period 2007 using questionnaire interviews (N=409). We employ...

Methods Using a dataset of 410 JIA patients treated with MTX, (provided by PRINTO) 3 sets of logistic regression analyses were conducted, one at each classification level, to determine the likelihood of a classification of improvement. For each level a series of univariate logistic analyses were conducted to identify, from the six COV, individually significant (p < 0.05) predictors of improveme...

I consider unsupervised extensions of the fast stepwise linear regression algorithm [5]. These extensions allow one to efficiently identify highly-representative feature variable subsets within a given set of jointly distributed variables. This in turn allows for the efficient dimensional reduction of large data sets via the removal of redundant features. Fast search is effected here through th...

The purpose of this study was to examine the capability of hyperspectral narrow wavebands within the 400–900 nm range for distinguishing five cash crops commonly grown in Northeastern Ontario, Canada. Data were collected from ten different fields in the West Nipissing agricultural zone (46°24'N lat., 80°07'W long.) and included two of each of the following crop types; soybean (Glycine max), can...

In the recent decades quasi-induced exposure has enjoyed increasing popularity with applications in the traffic safety analysis. However, issues have been raised that the majority of the relevant studies do not particularly attempt to verify the validity of the induced exposure technique prior to its adoption. In an effort to validate the critical not-at-fault assumption at the core of the appl...