Matching a discrete distribution by Poisson matching quantiles estimation.

Analyzing the data collected from different sources requires unpaired data analysis to account for the absence of correspondence between the random variable and the covariates . Several attempts have been made to analyze continuous , but it may follow a discrete distribution, which previous methodologies have overlooked. To address these limitations, we propose Poisson matching quantiles estimation (PMQE), the first unpaired data analysis method designed to examine the discrete and the unpaired continuous covariates .