Abstract
A technique is described for deriving the moment equations of a nonlinear stochastic system with a random forcing term. The nonlinear term is then linearized by means of minimizing the mean‐square error between nonlinear and linear terms. The traditional derivation of the Fokker‐Planck equation for the conditional probability density, and hence the moment equations, is bypassed.

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