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Regional Frequency Analysis
Regional Frequency Analysis (RFA) is a method to combine data over different sources (e.g. station measurements over a certain region) in order to decrease the estimation uncertainty. Hosking and Wallis (1997) state that RFA can be used whenever multiple samples of similar data are available.

One approach is the index-flood assumption, developed by Dalrymple (1960), where one assumes that all site-specific distributions are identical apart from a site-specific scaling vector.

Cunnane (1988) provides a good overview over different classical methods.