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    Jacabi Matrix of nonlinear regression model with more rows as observations

    I am wondering why the Jacobi matrix from my model estimated by matlab has three times more rows, as there are observations. I have estimated the nonlinear regression model in the added file by the following command in Matlab: options=optimset('MaxFunEvals', 10000, 'MaxIter', 10000, 'TolFun'...
  2. E

    Jacabi Matrix of nonlinear regression model with more rows as observations

    I am wondering why the Jacobi matrix from my model estimated by matlab has three times more rows, as there are observations. I have estimated the nonlinear regression model in the added file by the following command in Matlab: options=optimset('MaxFunEvals', 10000, 'MaxIter', 10000, 'TolFun'...
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    When to use Chauvenets or similar criterions - regression model data

    Hello I am wondering if I can use Chauvenets criterion for a data-set of 240 measurements of one y variables in order to detect outliers. I assume that the ys have a nonlinear relationship in parameters with about 12 x-variables. In general I did not quite understand on which y data the...
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    Principal Comoponent Analysis for a nonlinear regression / parameter estimation model

    Hello, the matlab code of estimated parameters of an non-linear differential equation model in the added file is options=optimset('MaxFunEvals', 10000, 'MaxIter', 10000, 'TolFun', 0.0001, 'TolX',0.0001,'Display','on'); [k_optim, resnorm, residual, exitflag, output, lambda, jacobian] =...