We present Structural Logistic Regression, an extension of logistic regression to modeling relational data. It is an integrated approach to building regression models from data stored in relational databases in which potential predictors, both boolean and real-valued, are generated by structured search in the space of queries to the database, and then tested with statistical information criteri...

Logistic regression analysis is a statistical technique to evaluate the relationship between various predictor variables (either categorical or continuous) and an outcome which is binary (dichotomous). In this article, we discuss logistic regression analysis and the limitations of this technique.

In order to establish a reasonable and effective financial crisis early warning model, the article chooses some financial indicators and uses factor analysis to get the common factors to conduct the most salient financial indicators. In the case that multirole linearity is not significant, the article uses the logistic regression to analyse eligible financial data and obtains the financial cris...

The stochastic phenomena in the generalized randomly forced logistic model with delay is considered. The probabilistic mechanisms of the noise-induced transitions between coexisting attractors, and between separate parts of the unique attractor are studied. For the analysis of these phenomena, a new semi-analytical approach is suggested. Our method takes into account a geometry of the mutual ar...

this study, we examined empirical results on the h index and its most important variants in order to determine whether the variants developed are associated with an incremental contribution for evaluation purposes. The results of a factor analysis using bibliographic data on postdoctoral researchers in biomedicine indicate that regarding the h index and its variants, we are dealing with two typ...

Many English adjectives form the comparative in two ways, so that, for instance, prouder occurs alongside more proud. The availability of several forms raises the general questions of when and why speakers choose one variant over the other. The aim of this article is to identify factors of language structure and language use that underlie the comparative alternation and to determine their relat...

In this paper, we introduce Tweedr, a Twitter-mining tool that extracts actionable information for disaster relief workers during natural disasters. The Tweedr pipeline consists of three main parts: classification, clustering and extraction. In the classification phase, we use a variety of classification methods (sLDA, SVM, and logistic regression) to identify tweets reporting damage or casualt...