nonlinear regression

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nonlinear regression

[′nän‚lin·ē·ər ri′gresh·ən]
(statistics)
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With the PCLS method, the nonlinear least squares subproblems which are present in the ALS formulation for symmetric tensors are avoided.
The estimation problem was approached using simplex search and nonlinear least squares algorithms.
A nonlinear least squares approach for identification for the induction motor parameters.
14] is nonlinear in the parameters, the nonlinear least squares should be employed for the estimation [14, 296].
Kaufman, A variable projection method for solving separable nonlinear least squares problems, BIT, 15 (1975), pp.
Wedin, Algorithms for separable nonlinear least squares problems, SIAM Rev.
The toolbox includes functions for linear programming, quadratic programming, nonlinear optimization, nonlinear least squares, solving systems of nonlinear equations, multi-objective optimization, and binary integer programming.
Nonlinear least squares problems occur in maximizing likelihoods based on the normal distribution.
In [1] a systematic procedure (variable projection) is introduced for reducing the estimation problem to a nonlinear least squares problem in the nonlinear parameters [beta] only.
Variable projection leads to the nonlinear least squares problem (1.

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