Application of quasi-optimal weights to searches of anomalies.   Statistical criteria for step-like anomalies in cumulative spectra
  The statistical method of quasi-optimal weights can be used to derive criteria for searches of anomalies. As an example we derive a convenient statistical criterion for step-like anomalies in cumulative spectra such as measured in the Troitsk-nu-mass, Mainz and KATRIN experiments. It is almost as powerful as the locally most powerful one near the null hypothesis and appreciably excels the conventional chi^2 and Kolmogorov-Smirnov tests. It is also compared with an ad hoc criterion of {\guillemotleft}pairwise correlations of neighbours{\guillemotright}; the latter is seen to be less powerful if more sensitive to more general anomalies. As a realistic example, the criteria are applied to the Troitsk-nu-mass data. 
A. V. Lokhov, F. V. Tkachov, P. S. Trukhanov
physics.data-an hep-ex nucl-ex