Least square fitting with one parameter less
Berg, Bernd A.
Data Analysis, Statistics and Probability
Statistical Mechanics
High Energy Physics - Lattice
Computational Physics
Original · EN
It is shown that whenever the multiplicative normalization of a fitting function is not known, least square fitting by χ² minimization can be performed with one parameter less than usual by converting the normalization parameter into a function of the remaining parameters and the data.
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