Methods of estimation of losses of the relevant information of time rows depending on their length

The problem of samples appears at analyzing economic time rows. In the present work the relevant information in sampling of the given volume is estimated by means of instrumental set of statistical and fractal analysis using mathematical methods of fuzzy multitude theory. Unlike known results of the statistical analysis, fractal analysis makes it possible to estimate such new characteristics of time rows as presence of memory and estimation of its depths. Sufficiency of lengths of investigated time rows is estimated by depth of their memory.