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Portable Network Graphic  |  1994-04-29  |  6.0 KB  |  413x282  |  1-bit (2 colors)
   ocr: Nonlinear Fitting: Solution TAble SSEshows the residual sum of squares error. SSEI is the objective tha minimized. Ifa custom loss function is specified, this is the loss. DFEIS the degrees of freedom for error, which is the number of observ used minus the number of parameters fitted. MSEshows the mean squared error. It is the estimate of the varance residual error, which is the SSE divided by the DFE. RMSEestimates of the standard deviation of the residual error, which I root of the MSE described above. Parameterists the names you gave the parameters in the fitting form Estimatelists the esti ...