Artikel

Model selection in radon data fusion

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.

Language
Englisch

Bibliographic citation
Journal: Statistics in Transition New Series ; ISSN: 2450-0291 ; Volume: 21 ; Year: 2020 ; Issue: 4 ; Pages: 159-165 ; New York: Exeley

Subject
Tail probabilities
density ratio model
variable tilt functions
Appalachian Plateau
Forest County
Pennsylvania

Event
Geistige Schöpfung
(who)
Zhang, Xuze
Pyne, Saumyadipta
Kedem, Benjamin
Event
Veröffentlichung
(who)
Exeley
(where)
New York
(when)
2020

DOI
doi:10.21307/stattrans-2020-036
Handle
Last update
10.03.2025, 11:42 AM CET

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Object type

  • Artikel

Associated

  • Zhang, Xuze
  • Pyne, Saumyadipta
  • Kedem, Benjamin
  • Exeley

Time of origin

  • 2020

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