Welcome to the error matrix folder

Linear and non-linear fits usually end with

At the end of the minimization, B_J the first derivative of c²(c) with respect to c_J, is zero. The non-linear equations are linearized making them equivalent to linear equations in this limit. The matrix A^-1 is closely related to the error matrix which can be used to find the standard deviations in any function of c.

StdDev.doc htm

A test of the standard deviation is detailed in ..\Weights\ArtDat\Sum.doc and

..\nlfit\FermiFit\FermiStd.htm – For full details go to ..\nlfit\FermiFit\Welcome.htm

This last link contains a zip with the wpj, codes and inputs needed to find the standard deviation in a Fermi function after fitting the derivative of the Fermi function to data.