Least squares for different experimental cases

Abstract

\Ve discuss the problem of fitting an experimental data sel into a linear curve when experimental uncertainties can not be overlooked. Difficulties w¡th the standard least-squares method are pointed out. An alternative weighted least-squared method, depending on knowledge about the uncertainties ror fouT different cases.is prc. sented, and we use it to tl.nalyzc the data from a particular cxperiment. From this application it is shown that we get better results using the proper ra.se