We had proposed a stochastic (or statistical) Equivalent linearization - Gaussian Sum Filter (abbreviated as EqGS Filter) for discrete time nonlinear Systems. Subsequently, in this paper, we investigate and show the further results related to the EqGS Filter. Especially we discuss a method to apply Gauss-Hermite quadrature rules for evaluation of the conditional expected values of the quantities required to design the EqGS filter.
