The basis patterns method for non-stationary time-series analysis
The definitions of approximate expansion of empirical distribution function density over special basis patterns are proposed for non-stationary time series. The method of statistical recognition of the local state in terms of distribution function is formulated. The statistics of trend prediction is constructed.
non-stationary time series, basis patterns, self-consistent stationary level, pattern recognition
Mathematical modelling in actual problems of science and technics