Abstract
Although a variety of regression models of suspended sediment are in wide use, their success is limited. Consistently accurate models have not been forthcoming. Transfer-function/noise models are presented as a better type of stochastic sediment model. These models match hydrological theory more closely, more accurately predict suspended sediment, better satisfy underlying statistical assumptions, and provide more heuristic value regarding current hydrological theory, than past sediment models.
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