The importance of finding a well fitted model for
hydro-meteorological time series cannot be denied, the main gain of
a successful approach being the possibility to explain the past and
to provide informed insight for the future. Therefore, we tried to
present here some techniques that can be used to build a
mathematical model for time series (particularly for
hydro-meteorological ones), starting from statistical tests of data
analysis, passing to the empirical models, nonparametric
techniques, ARIMA models and heuristic methods. Since our intention
was to write a book easy to read, the theory is shortly presented
and is followed by applications on real data that are the results
our three years research work. We hope that this material will be
useful for postgraduate students, as well as for the researchers.
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