This paper studies the conditional quantile regression problem involving the pinball loss. We introduce a concept of -quantile of -average logarithmic type to complement the previous study by Steinwart and Christman (2008, 2011) [1], [2]. A new comparison theorem is provided which can be used for further error analysis of some learning algorithms.