Ordinal logistic regression is a statistical analysis method that can be used to model the relationship between an ordinal response variable and one or more explanatory variables. An ordinal variable is a categorical variable for which there is a clear ordering of the category levels. The explanatory variables may be either continuous or categorical. Estimating ordinal logistic regression model...

Multiple linear regression analysis is frequently used in studies investigating the degree of Functional Independence Measure (FIM) improvement in stroke patients. However, the coefficient of determination R2 is about 0.46 to 0.73, meaning that the prediction accuracy is not necessarily high. In order to improve the prediction accuracy, the following methods are used; using appropriate explanat...

To reduce their stocks and to limit ruptures, textile companies must improve their supply chain management. This organization requires sales forecasting systems adapted to the uncertain environment of the textile field. The uncertainty is characterized by noisy data, short historic and numerous explanatory variables that influence the sales behavior. This paper deals with new forecasting models...

The grade correspondence analysis (GCA) is used to form a solution of predictive problems with a binary response variable and a vector of nonnegative explanatory variables. At first, the GCA is applied to the matrix of values of explanatory variables corresponding to objects belonging to the training set. Then, this analysis is repeated under the restriction that two non-overlapping blocks are ...

Estimative analysis of the property market aims to identify the parameters, economic variables and mechanisms at the basis of negotiations that take place in the market. The aims are explanatory and predictive. In this work, a multiple regression analysis is carried out to evaluate a segment of the bare ownership market of residential properties in a district of an Italian city. In particular, ...

The focus of my research is the added value model technical higher education. I approached question from several aspects, in this paper present some key results study conducted among students who interrupted or terminated their studies without a degree. am looking for answers to questions how dropouts can be categorized, i.e. whose point view it appears as loss, and which background factors cau...

The literature on cabinet duration is split between two apparently irreconcilable positions. The attributes theorists seek to explain cabinet duration as a fixed function of measured explanatory variables, while the events process theorists model cabinet durations as a product of purely stochastic processes. In this paper we build a unified statistical model that combines the insights of these ...