A likelihood analysis of quantile-matching transformations

01/11/2020

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by   Peter McCullagh, et al.

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Quantile matching is a strictly monotone transformation that sends the observed response values {y_1, . . . , y_n} to the quantiles of a given target distribution. A likelihood based criterion is developed for comparing one target distribution with another in a linear-model setting.