q-Symmetric Family of Continuous Distributions: Construction, Properties, and Measures of Skewness
Accepted February 2026
Keywords:
involution function, log-symmetric distributions, M¨obius transformation, skewness measures, symmetric distributionAbstract
We introduce in this work a new family of probability distributions that generalizes the classical classes of location-symmetric and log-symmetric distributions. This family, termed q-symmetric distributions, is defined through a monotone involution transformation, referred to as the q-transformation. We then present some properties of the q-transformation and investigate systematic methods for constructing q-symmetric distributions. Several theoretical properties of the proposed family are established and, in addition, we introduce some measures of skewness associated with the q-transformation, including both moment-based and quantile-based measures, extending classical concepts of skewness to the q-symmetric setting considered here. The main properties of these q-skewness measures are then studied and illustrated.
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