K. Kumar et Ma. Alsaleh, A COMPARATIVE-STUDY FOR THE ESTIMATION OF PARAMETERS IN NONLINEAR MODELS, Applied mathematics and computation, 77(2-3), 1996, pp. 179-183
The most commonly used numerical optimization techniques include the m
ethods of Gauss-Newton, Newton-Raphson, gradient methods; including me
thods of steepest ascent and descent, and Marquardt algorithm. Kumar [
1] has recently proposed a new technique based on optimum exponential
regression. Another noniterative procedure proposed in this paper is b
ased on the principle of internal regression. In this paper! we have c
ompared these methods using real data sets.