Bayesian model selection: Application to adjustment of fundamental physical constants
Olha Bodnar () and
Viktor Eriksson ()
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Olha Bodnar: Örebro University School of Business, Postal: Örebro University, School of Business, SE - 701 82 ÖREBRO, Sweden, https://www.oru.se/english/employee/olha_bodnar
Viktor Eriksson: Örebro University School of Business, Postal: Örebro University, School of Business, SE - 701 82 ÖREBRO, Sweden, https://katalog.uu.se/profile/?id=N20-962
No 2021:7, Working Papers from Örebro University, School of Business
Abstract:
The location-scale model is usually present in physics and chemistry in connection to the Birge ratio method for the adjustment of fundamental physical constants such as the Planck constant or the Newtonian constant of gravitation, while the random effects model is the commonly used approach for meta-analysis in medicine. These two competitive models are used to increase the quoted uncertainties of the measurement results to make them consistent. The intrinsic Bayes factor (IBF) is derived for the comparison of the random effects model to the location-scale model, and we answer the question which model performs better for the determination of the Newtonian constant of gravitation. The results of the empirical illustration support the application of the Birge ratio method which is currently used in the adjustment of the CODATA 2018 value for the Newtonian constant of gravitation together with its uncertainty. The results of the simulation study illustrate that the suggested procedure for model selection is decisive even when data consist of a few measurement results.
Keywords: Intrinsic Bayes factor; Birge ratio method; Location-scale model; Random-e ects model; Reference prior; Meta-analysis; Interlaboratory comparison study; Newtonian constant of gravitation (search for similar items in EconPapers)
JEL-codes: C02 C11 C18 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2021-05-07
New Economics Papers: this item is included in nep-cwa and nep-ore
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:hhs:oruesi:2021_007
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