An auto‐regressive model has been developed for hydrologic data simulation. The model is computationally easier, parsimonious in number of model parameters and more stable in statistical characteristics than the existing auto‐regressive model. The proposed model was used for synthesizing 10 sequences, each of 100 year length, of monthly flows for the river Beas. The statistical parameters were calculated using 49‐year historical record for the river. The data was also synthesized using existing auot‐regressive model. The synthesized sequences have been compared. The results indicate that the proposed model is as good as the existing auto‐regressive model in preserving the mean and standard deviation of historical record. It is further shown that the proposed model requires less parameters than the auto‐regressive model for simulation of long‐term dependence.
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