A method for design of parameter estimation for statistically linearized systems on the knowledge of experimental data of the input process

A method is proposed for design of parameter estimation for statistically linearized system with minimal r.m.s. deflection as the criterion for the case where the probabilistic characteristics of the input variable are not specified a priori. Parameter estimatesare given for a number of one-dimensional deterministic nonlinearities.