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 Cox process Functional principal components analysis Simultaneous inference 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. 2022-02-23T13:25:51Z 2022-02-23T13:25:51Z 2010-06-19 info:eu-repo/semantics/article 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 http://hdl.handle.net/10481/72979 https://doi.org/10.1016/j.chemolab.2010.06.002 eng http://creativecommons.org/licenses/by-nd/3.0/es/ info:eu-repo/semantics/embargoedAccess Atribución-SinDerivadas 3.0 España Elsevier