Adequacy of Hydrologic Records for Parameter Estimation

by Charles T. Haan, Assoc. Prof.; Agric. Engrg. Dept., Univ. of Kentucky, Lexington, KY,


Serial Information: Journal of the Hydraulics Division, 1972, Vol. 98, Issue 8, Pg. 1387-1393


Document Type: Journal Paper

Abstract: Monte Carlo simulation can be used to determine the probability of errors of various magnitudes produced by stochastic models and how these error probabilities change as the number of observations used in determining the parameters of the stochastic model change. The simulation technique is simple, easy to apply and produces results that are easy to interpret. The step-by-step procedure is outlined in this paper. A stochastic model of monthly streamflow is used to illustrate the procedure and demonstrate that a table of error probabilities as a function of the number of observations available can be produced.

Subject Headings: Hydrology | Errors (statistics) | Parameters (statistics) | Stochastic processes | Simulation models | Streamflow | Monte Carlo method | Europe | Monaco | Monte Carlo

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