  The monthly precipitation data from 29 meteorological stations for the period
1946--2012 from Serbia were used. To describe the behaviour of precipitation
data at a specific location, it is necessary to identify the distribution that
best fits the data. For this purpose, three distributions i.e. generalized
extreme value (GEV), generalized Pareto (GPD) and generalized logistic (GLO)
distribution were fitted using the method of L-moment. The goodness-of-fit for
the selected three distributions was confirmed using L-moment ratio diagram and
three tests namely relative root mean square error, relative mean absolute
error and probability plot correlation coefficient. From the result of this
analysis, the GEV distribution was selected as the best fitting distribution of
annual precipitation data in Serbia. The 2, 5, 10, 20, 50, 100 and 1000-years
return levels are provided.
