Document Type : Research Article
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Abstract
The application of statistical theory and probability analysis of hydrologic time series is assumed that the variables are normally distributed. Since many time series are not normal, it is required prior to any analysis and modeling, they looked normal. This conversion is done by Const. In this study, using 12 common function to convert the normalized data, the average monthly rainfall in different regions of Iran into the data were normally distributed and the skewness coefficient, superior functions in each climate zone was Iran. The results showed that the data used in hot and dry regions with a square, as well as normal and the rest of the climate zones are likely to become a tropical area, Johnson and temperate regions selected for the inverse transform
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