Characterizations of independence between order statistics and rank indicators
This paper establishes a general framework for characterizing the independence between order statistics and their corresponding rank indicators for independent nonnegative random variables, utilizing reweighted probability measures to derive explicit expressions, distribution-free departure measures, and new characterizations of censoring mechanisms under proportional hazards and reversed hazards models.
Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
Drowning in papers in your field?
Get daily digests of the most novel papers matching your research keywords — with technical summaries, in your language.