Financial inclusion refers to a state in which all working age adults have effective access to credit, savings, payments, and insurance from formal service providers. The aim of this paper is to introduce several indicators ...

One of the crucial problems in multiple-model approach of the regression is estimation of optimal number of base models. If the quantity is too low – it increases the prediction error whereas too high number of models ...

Design of experiment is one of statistical methods of quality control which allows to appropriate preparation of the production process. Statistical design of experiment allows to set the level and to determine the ...

We presented some properties of new procedures of multiple hypotheses testing for discrete distributions. We choose the new procedure stepwise TWWk, based on Tarone, Westfall and Welfinger ideas. We compare this procedure ...

Support Vector Machines (SVMs) belong to the group of Data Mining and Machine Learning methods. SVMs are considered to be one of the best classification methods in terms of performance measure. The biggest disadvantage ...

One of the approaches to feature selection in discrimination or regression is learning models using various feature subsets and evaluating these subsets, basing on model quality criterion (so called wrappers). Heuristic ...

High accuracy of results is a very important task in any grouping problem (clustering). It determines effectiveness of the decisions based on them. Therefore in the literature there are proposed methods and solutions ...

The aim of the article is to analyse the influence of unemployed person’s age on job seeking time. This influence can changes in time. That analysis is possible by using Cox nonproportional hazard model. We get the marks ...

Clustering problem is addressed in many contexts and disciplines. Although there are numerous studies on cluster analysis, there is a lack of a review to complete and systematize knowledge of research approach depending ...