Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/236786
Authors: 
Zhang, Xuze
Pyne, Saumyadipta
Kedem, Benjamin
Year of Publication: 
2020
Citation: 
[Journal:] Statistics in Transition New Series [ISSN:] 2450-0291 [Volume:] 21 [Year:] 2020 [Issue:] 4 [Pages:] 159-165
Publisher: 
Exeley, New York
Abstract: 
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.
Subjects: 
Tail probabilities
density ratio model
variable tilt functions
Appalachian Plateau
Forest County
Pennsylvania
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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