Abstract
We utilize an Information Complexity Measure (ICOMP) based modeling approach to determine possible contamination due to length-biased sampling. The ICOMP approach considers both the lack of fit (goodness of fit) and the inherent information complexity of each of the distributions with respect to the real distribution of the data.
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