Bayesian influence diagnostics in radiocarbon dating |
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Authors: | J M Fernández-Ponce F Palacios-Rodríguez M R Rodríguez-Griñolo |
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Institution: | 1. Department of Estadística e Investigación Operativa , Universidad de Sevilla , 41012 , Sevilla , Spain;2. Department of de Economía, Métodos Cuantitativos e Historia Económica , Universidad Pablo de Olavide , 41013 , Sevilla , Spain |
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Abstract: | Linear models constitute the primary statistical technique for any experimental science. A major topic in this area is the detection of influential subsets of data, that is, of observations that are influential in terms of their effect on the estimation of parameters in linear regression or of the total population parameters. Numerous studies exist on radiocarbon dating which propose a value consensus and remove possible outliers after the corresponding testing. An influence analysis for the value consensus from a Bayesian perspective is developed in this article. |
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Keywords: | conditional bias influence analysis outliers predictive approach radiocarbon dating |
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