Abstract
Abstract Algorithms of the method of least squares that are intended for estimating the parameters of non-linear autoregression processes are considered. A class of nonlinear difference equations is isolated which describes autoregression processes for which MLS estimates of parameters in these equations are found to be strongly consistent.
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