It is well known that under certain (not too restrictive) conditions empirical quantiles of a distribution converge to the corresponding theoretical quantiles in probability as the sample size $n \to \infty$. Do there exist counterparts of this theorem for the case when the distribution is not continuous, but is a mixture of an absolutely continuous distribution and a discrete distribution?


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