On q-Order Statistics
Abstract
Building on the notion of q-integral introduced by Thomae in 1869, we introduce q-order statistics (that, is q-analogues of the classical order statistics, for 0<q<1) which arise from dependent and not identically distributed q-continuous random variables and study their distributional properties. We study the q-distribution functions and the q-density functions of the relative q-ordered random variables. We focus on q-ordered variables arising from dependent and not identically q-uniformly distributed random variables and we derive their q-distributions, including q-power law, q-beta and q-Dirichlet distributions.
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