A Cox model for radioactive counting measure: Inference on the intensity process

Rodríguez Bouzas, Paula; Ruiz-Fuentes, Nuria; Matilla Hernández, Antonio; Aguilera Del Pino, Ana María; Valderrama Bonnet, Mariano José

doi:https://doi.org/10.1016/j.chemolab.2010.06.002

Pre-print A Cox model for radioactive counting measure: Inference on the intensity process (795.6Kb)

Identificadores

URI: http://hdl.handle.net/10481/72979

DOI: https://doi.org/10.1016/j.chemolab.2010.06.002

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Editorial

Elsevier

Materia

Cox process

Functional principal components analysis

Simultaneous inference

Fecha

2010-06-19

Referencia bibliográfica

P.R. Bouzas, N. Ruiz-Fuentes, A. Matilla, A.M. Aguilera, M.J. Valderrama, A Cox model for radioactive counting measure: Inference on the intensity process, Chemometrics and Intelligent Laboratory Systems, Volume 103, Issue 2, 2010, Pages 116-121, ISSN 0169-7439, https://doi.org/10.1016/j.chemolab.2010.06.002

Patrocinador

Projects MTM2007-63793 and MTM 2007-66791 of Plan Nacional I + D + I, Ministerio de Ciencia e Innovación, P06-FQM-01470 from Consejería de Innovación, Ciencia y Empresa de la Junta de Andalucía; Grant FQM-307 of Conserjería de Innovación de la Junta de Andalucía, all of them being Spanish institutions

Resumen

A solution to the problem of calibrating a counting device from observed data, is developed in this paper by means of a Cox process model. The stochastic intensity of the process for counting emitted particles is estimated by functional principal components analysis and confidence bands are provided for two radioactive isotopes, 226Ra and 137Cs. A hypothesis test to assess the coherence of the new observed data with the estimated model is also included.

Colecciones

FQM307 - Artículos

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