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Cite Journal: Biometrika |  Publication Date: Jul 30, 2020 |
 Citations: 3 |
Affiliation: University of Chicago
Summary Quantile matching is a strictly monotone transformation that sends the observed response values to the quantiles of a given target distribution. A profile likelihood-based criterion is developed for comparing one target distribution with another in a linear-model setting.
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