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Author
Zhang Xuze (Department of Mathematics and Institute for Systems Research, University of Maryland, College Park, USA), Pyne Saumyadipta (Public Health Dynamics Laboratory, and Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA), Kedem Benjamin (Department of Mathematics and Institute for Systems Research, University of Maryland, College Park. USA)
Title
Model Selection in Radon Data Fusion
Source
Statistics in Transition, 2020, vol. 21, nr 4 Special Issue, s. 159-165, rys., tab., bibliogr. s. 165
Keyword
Modelowanie ekonometryczne, Statystyka małych obszarów, Analiza empiryczna
Econometric modeling, Small area estimates, Empirical analysis
Note
summ.
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. (original abstract)
Accessibility
The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice
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Bibliography
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Cited by
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ISSN
1234-7655
Language
eng
URI / DOI
http://dx.doi.org/10.21307/stattrans-2020-036
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