Abstract
The parameter estimation problem is treated for a general class of distributed-parameter systems disturbed by random inputs. The policy of transforming the problem into an equivalent lumped-parameter form amenable to existing statistical parameter estimation methods is followed. A computed example illustrates the effectiveness of the theory.

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