Structure of daily hydrologic series, based on TIPS methodology (Yevjevich, 1984), is extended and new possibilities for stochastic analyses and applications are presented. First, estimation of smoothed time functions of statistics (mean, minimum, maximum, etc.) for each date in a hydrological year are derived. Periodic time functions are modeled by applying Fourier series analysis. It is shown that dimensionless time functions for main, minimum and maximum can be used for hydrological regime study and classifications. Method is demonstrated on daily data sets from 20 catchments. Data from Serbia and MED-HYCOS data-base are used. Hydrological regime differences between Mediterranean and continental climatic region are evident. In Serbia, cl...