文章基本信息

标题：Model selection in radon data fusion
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作者：Xuze Zhang ; Saumyadipta Pyne ; Benjamin Kedem 等
期刊名称：Statistics in Transition
印刷版ISSN：1234-7655
电子版ISSN：2450-0291
出版年度：2020
卷号：21
期号：4
页码：159-165
DOI：10.21307/stattrans-2020-036
出版社：Exeley Inc.
摘要：Fitting parametric models or the use of the empirical cumulative distribution function are problematic when it comes to the estimation of tail probabilities from small samples. A possible remedy is to fuse or combine the small samples with additional data from external sources and base the inference on the so called density ratio model with variable tilt functions, which widens the support of the estimated distribution of interest. This approach is illustrated using residential radon concentration data collected from western Pennsylvania.
关键词：Tail probabilities; density ratio model; variable tilt functions; Appalachian Plateau; Forest County; Pennsylvania