Error-affected experimental data analysis: application to fitting procedures

The experimental data analysis problem, when both variables are subjected to errors, is re-examined and solved with an analytical approach on the basis of the error propagation law only. A new weight definition is found that leads to exact results without any mathematical complexity. The method can be easily applied to existing programs since only the first derivative of the theoretical function is required.