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Recently, the authors have described two stochastic algorithms, based on the controlled random search, for the global optimization. This paper deals with the use of these algorithms in estimating the parameters of nonlinear regression models. Several criteria like residual sum of squares, sum of absolute deviations and sum of trimmed squares are chosen. The algorithms are experimentally tested on...
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