Abstract
A method is proposed for determining the dispersion and correlation matrices for a random process that can be represented as a system of differential equations. The method provides a significant reduction of computational operations and is free of the systematic error that accompanies numerical integration. As an example we present finite expressions for the probability characteristics of observed variables.
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