2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/130681In this paper we shall consider one parametric generalization of some non-symmetric divergence measures. The \textit{non-symmetric divergence measures} are such as: Kullback-Leibler \textit{relative information}, $χ^2-$\textit{divergence}, \textit{relative J -- divergence}, \textit{relative Jensen -- Shannon divergence} and \textit{relative Arithmetic -- Geometric divergence}. All the generalizations considered can be written as particular cases of Csiszár's \textit{f-divergence}. By putting some conditions on the probability distribution, the aim here is to develop bounds on these measures and their parametric generalizations.Statistics Theorytext