Abstract
Nonlinear regression methods can be used to fit functions for two related variables where both variables are subject to error. A computer program for nonlinear estimation described previously has been modified to fit such functions for a given set of data. A numerical example is provided for a second-degree equation in xand y.A closer fit to an observed set of data is possible if the error structure for the variables is specified.
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McCammon, R.B. Nonlinear regression for dependent variables. Mathematical Geology 5, 365–375 (1973). https://doi.org/10.1007/BF02111987
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DOI: https://doi.org/10.1007/BF02111987