Moderate deviations and large deviations for a test of symmetry based on kernel density estimator

Let fn be a non-parametric kernel density estimator based on a kernel function K. and a sequence of independent and identically distributed random variables taking values in . The goal of this article is to prove moderate deviations and large deviations for the statistic .