We present a nonparametric statistical framework for the quantification, analysis, and propagation of data uncertainty in direct volume rendering (DVR). The state-of-the-art DVR allows preserving transfer function (TF) ground truth when visualizing uncertain data; however, existing is restricted to parametric models uncertainty. In this paper, we address limitations by extending distributions. ...