TL;DR
This paper examines the challenges of fitting correlated data, especially in small samples, highlighting the unreliability of the correlated chi-squared minimization method in such scenarios.
Contribution
It provides an analysis of the limitations of the correlated chi-squared fitting method when applied to small data samples in hadron mass spectroscopy.
Findings
Correlated chi-squared minimization is unreliable with small data samples.
The paper emphasizes the importance of sample size in data fitting accuracy.
It discusses implications for hadron mass spectroscopy data analysis.
Abstract
We discuss fitting correlated data - with the example of hadron mass spectroscopy in mind. The main conclusion is that the method of minimising correlated is unreliable if the data sample is too small.
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