A likelihood analysis of quantile-matching transformations
成果类型：
Article
署名作者：
McCullagh, P.; Tresoldi, M. F.
署名单位：
University of Chicago
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/asaa048
发表日期：
2021
页码：
247251
关键词：
摘要：
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.