ABSTRACT:In this study the estimation of parameters in water quality models represented by linear first order partial differential equations is investigated. Two sets of simulated input‐output data, one with input noise and the other with output measurement error, were used. The parameters were estimated by a gradient technique (Bard's method) and a pattern search technique. The results indicate that the output measurement error significantly affects the values of parameter estimates as compared to the noise added to the input. Bard's method consistently gave results with a smaller sum of square valu
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