Model Selection in Radon Data Fusion

• Autorzy: Xuze Zhang , Saumyadipta Pyne , Benjamin Kedem
• Języki publikacji: EN

Abstrakty

EN

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)

Słowa kluczowe

EN

Econometric modeling; Small area estimates; Empirical analysis

PL

Modelowanie ekonometryczne; Statystyka małych obszarów; Analiza empiryczna

• Czasopismo: Statistics in Transition
• Rocznik: 2020
• Tom: 21
• Numer: nr 4 Special Issue
• Strony: 159--165

Twórcy

autor

Xuze Zhang

• Department of Mathematics and Institute for Systems Research, University of Maryland, College Park, USA

autor

Saumyadipta Pyne

• Public Health Dynamics Laboratory, and Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA

autor

Benjamin Kedem

• Department of Mathematics and Institute for Systems Research, University of Maryland, College Park. USA

Bibliografia

• FOKIANOS, K., (2007). Density ratio model selection. Journal of Statistical Computation and Simulation, 77(9), pp. 805-819.
• FOKIANOS, K., KAIMI, I., (2006). On the effect of misspecifying the density ratio model. AISM, 58, pp. 475-497.
• KEDEM, B., DE OLIVEIRA, V., SVERCHKOV, M., (2017). Statistical Data Fusion, World Scientific, Singapore.
• OWEN, A., (2001). Empirical Likelihood, Chapman & Hall/CRC, Boca Raton, Fl.
• PA DEPARTMENT OF ENVIRONMENTAL PROTECTION. QIN, J., (2017)., Biased Sampling, Over-identified Parameter Problems and Beyond, Springer, Singapore.
• RACK-AMBER, T., (2013)., American Lung Association in Pennsylvania to provide free radon testing kits.
• VOULGARAKI, A., KEDEM, B., and GRAUBARD, B. I., (2012). Semiparametric regression in testicular germ cell data. Annals of Applied Statistics, 6, pp. 1185- 1208.
• WIKIPEDIA CONTRIBUTORS, (2019). Geology of Pennsylvania - Wikipedia, The Free Encyclopedia. [Online; accessed 20-December-2019].
• ZHANG, X., PYNE, S., KEDEM, B., (2019). Estimation of Radon Concentration in Pennsylvania Counties by Data Fusion. arXiv e-prints, arXiv:1912.08149.

Identyfikatory

DOI

10.21307/stattrans-2020-036