# Search results

1. ### 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. ### 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'...
3. ### 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...
4. ### Principal Comoponent Analysis for a nonlinear regression / parameter estimation model

I dont know if my formulation "PCA on the estimated parameters" is correct. In the linear model we do PCA on the Covariance Matrix of the observabels because we want eigenvectors of the Variance of the derivative of y with respect to a parameter. This derivative is the covariance matrix of the...
5. ### Principal Comoponent Analysis for a nonlinear regression / parameter estimation model

I would like to reveal whether there is collinearity between parameters, due to the large number of coefficients and their multiplicative and additive relationsships. The large K_s in the denominator of r and E_A have shown low t-values when estimating the model with my experimental values of y...
6. ### 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] =...