  This paper is focused on the moderate-deviations analysis of binary
hypothesis testing. The analysis relies on a concentration inequality for
discrete-parameter martingales with bounded jumps, where this inequality forms
a refinement to the Azuma-Hoeffding inequality. Relations of the analysis to
the moderate deviations principle for i.i.d. random variables and to the
relative entropy are considered.
