A Handbook of Statistical Analyses Using SPSS
A Handbook of Statistical Analyses Using SPSS
Meteorological time series modeling using an adaptive gene expression programming
EC'09 Proceedings of the 10th WSEAS international conference on evolutionary computing
ARIMA models versus gene expression programming in precipitation modeling
EC'09 Proceedings of the 10th WSEAS international conference on evolutionary computing
On the Sulina precipitation data analysis using the ARMA models and a neural network technique
MACMESE'08 Proceedings of the 10th WSEAS international conference on Mathematical and computational methods in science and engineering
ARIMA models for the analysis of the precipitation evolution
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
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To describe the precipitation evolution in Dobrudja - a region situated in the South - East of Romania - the mean annual precipitation have been collected from 1965 to 2005, at ten hydro-meteorological stations. To determine the influence of geographical positions of the hydro-meteorological stations on the precipitation variability, the statistical analysis of these time series was performed. Most series behave quite similarly, indicating that the evolution is linked to large - scale rather than to local processes. Tukey and Sheffe's tests reveal possible grouping of homogenous data station. Different methods were used to fit the precipitation evolution in entire region, ignoring the possible groups or considering them. The results were compared. The best fit was obtained by using local linear smoothing.