A likelihood analysis of quantile-matching transformations
Methodology
2020-01-14 v1
Abstract
Quantile matching is a strictly monotone transformation that sends the observed response values 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.
Cite
@article{arxiv.2001.03709,
title = {A likelihood analysis of quantile-matching transformations},
author = {Peter McCullagh and Micol Federica Tresoldi},
journal= {arXiv preprint arXiv:2001.03709},
year = {2020}
}
Comments
8 pages, 2 figures