https://elib.bsu.by:443/handle/123456789/56443 2026-04-20T23:01:47Z 2026-04-20T23:01:47Z Yermalitskaya, E. V. https://elib.bsu.by:443/handle/123456789/52126 2018-04-10T07:25:10Z 2013-01-01T00:00:00Z

Заглавие документа: Introduction of modern methods of dissemination of statistical information Авторы: Yermalitskaya, E. V. Аннотация: This article considers the problems of user access to statistical bases and databanks, comprised the state statistical information resource. It also suggests ways to improve the dissemination of the summary statistical information by state statistics bodies, shares experience of National statistical committee of the Republic of Belarus on design and implementation of the information systems providing access to statistical databases, including Internet usage. The arti- cle also presents the level of introduction and use of geographical information systems (GIS) in state statistics bodies of the Republic of Belarus, including dissemination of statistical information. The purposes and the main stages of further development and of introduction of GIS in statistical practice are given.

2013-01-01T00:00:00Z Visockij, S. U. https://elib.bsu.by:443/handle/123456789/52124 2018-04-10T07:24:33Z 2013-01-01T00:00:00Z

Заглавие документа: Multidimentional comparative analysis of innovative activity of territorial units Авторы: Visockij, S. U. Аннотация: The author has analyzed the innovation activity of industrial organizations by testing the hypothesis of equality of the mean vector and constant vector, testing the hypothesis of equality of the two mean vectors, testing the hypothesis of equality of the covariance matrices for different regions of the Republic of Belarus for 2010-2011.

2013-01-01T00:00:00Z Soshnikova, L. A. https://elib.bsu.by:443/handle/123456789/52123 2018-04-10T07:24:57Z 2013-01-01T00:00:00Z

Заглавие документа: Methods of indirect estimation of the innovative development intensity Авторы: Soshnikova, L. A. Аннотация: This paper outlines the methods that can be used to estimate the intensity of the indirect innovations. Two approaches are presented: a) estimation based on technological flows matrix; b) Leontief approach, based on the ”input-output” table.

2013-01-01T00:00:00Z Soshnikov, L. E. https://elib.bsu.by:443/handle/123456789/52122 2018-04-10T07:25:58Z 2013-01-01T00:00:00Z

Заглавие документа: Neural network simulation of the industrial producer price index dynamical series Авторы: Soshnikov, L. E. Аннотация: This paper is devoted the simulation and forecast of dynamical series of the economical indicators. Multilayer perceptron and Radial basis function neural networks have been used. The neural networks model results are compared with the econometrical modeling.

2013-01-01T00:00:00Z