Analysis of Information Society Indicators with Time Distance Methodology
Sunday, 04 December 2005
Article in CIT, Journal of Computing and Information Technology, Vol. 13, No. 4. December 2005, p. 293-298, author Pavle Sicherl. A novel generic statistical measure S-time-distance complementing existing methods of analysis of time series data is briefly presented. The application to indicator analysis shows that the gap between compared units may be very different when compared with commonly used static measures and with time distance measure, leading to a special typology of indicators. Analysis of indicators like PC per 100 inhabitants and Internet users per capita will show the empirical results for EU countries.