A systematic error in maximum likelihood fitting

The maximum likelihood method is normally regarded as the safest method for parameter estimation. We show that this method will give a bias in the often occurring situation where a spectrum of counts is fitted with a theoretical function, unless the fit function is very simple. The bias can become significant when the spectrum contains less than about 100 counts or when the fit interval is too short.