  The most popular hypothesis testing procedure, the likelihood ratio test, is
known to be highly non-robust in many real situations. Basu et al. (2013a)
provided an alternative robust procedure of hypothesis testing based on the
density power divergence; however, although the robustness properties of the
latter test were intuitively argued for by the authors together with extensive
empirical substantiation of the same, no theoretical robustness properties were
presented in this work. In the present paper we will consider a more general
class of tests which form a superfamily of the procedures described by Basu et
al. (2013a). This superfamily derives from the class of $S$-divergences
recently proposed by Basu et al. (2013a). In this context we theoretically
prove several robustness results of the new class of tests and illustrate them
in the normal model. All the theoretical robustness properties of the Basu et
al. (2013a) proposal follows as special cases of our results.
