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A STOCHASTIC APPROXIMATION-ITERATIVE LEAST SQUARES ESTIMATION PROCEDURE | ||
| Iraqi Journal of Science | ||
| Article 1, Volume 53, Issue 2, 2012, Pages 367-385 | ||
| Author | ||
| Ali H. Kashmar | ||
| Abstract | ||
| We consider the general nonlinear regression problem . A survey of some classical methods and stochastic approximation procedures for estimating is first given. We solve the nonlinear regression problem by considering the optimal stochastic approximation procedure by [3],[4]. This leads us to introduce a new procedure , called "Stochastic Approximation Iterative Least Square Procedure" SA -ILS procedure. The new procedure is applied to a number of nonlinear regression models. We report on the results of a simulation investigation which indicate that the new procedure is highly efficient with respect to the number of observations required to obtain the parameter estimates for given regression problem. | ||
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