Title of article :
A Cox model for radioactive counting measure: Inference on the intensity process
Author/Authors :
Bouzas، نويسنده , , P.R. and Ruiz-Fuentes، نويسنده , , N. and Matilla، نويسنده , , A. and Aguilera، نويسنده , , A.M. and Valderrama، نويسنده , , M.J.، نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی سال 2010
Abstract :
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.
Keywords :
Cox process , Functional principal components analysis , Simultaneous Inference
Journal title :
Chemometrics and Intelligent Laboratory Systems
Journal title :
Chemometrics and Intelligent Laboratory Systems