What question did this study set out to answer?

The aim is to create synthetic hydrological sequences that closely mimic historical data characteristics.

Mathematical assessment of synthetic hydrology

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Mathematical assessment generates synthetic sequences in hydrology, minimizing biases in historical data estimation.

The aim is to create synthetic hydrological sequences that closely mimic historical data characteristics.
Utilized a multivariate, weakly stationary process for sequence generation.
Applied maximum likelihood estimates to improve parameter accuracy.
Employed regionalization techniques to refine historical data estimates.
Synthetic sequences matched historical means and standard deviations closely.
Achieved consistent lag-one serial correlation values.
Reduced bias in parameters through maximum likelihood estimation techniques.

N. C. Matalas (1967) studied this question.

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