Artículo
Bayesian Influence Diagnostics in Radiocarbon Dating
Autor/es | Fernández Ponce, José María
Palacios Rodríguez, Fátima Rodríguez Griñolo, María del Rosario |
Departamento | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa |
Fecha de publicación | 2012-08-27 |
Fecha de depósito | 2024-09-20 |
Publicado en |
|
Resumen | 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 ... 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. |
Cita | Fernández Ponce, J.M., Palacios Rodríguez, F. y Rodríguez Griñolo, M.d.R. (2012). Bayesian Influence Diagnostics in Radiocarbon Dating. Journal of Applied Statistics, 40 (1). https://doi.org/10.1080/02664763.2012.725531. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Bayesian influence diagnostics ... | 315.3Kb | [PDF] | Ver/ | |