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

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Title: A Cox model for radioactive counting measure: Inference on the intensity process
Authors: Bouzas, P.R.1 paula@ugr.es, Ruiz-Fuentes, N.2, Matilla, A.3, Aguilera, A.M.1, Valderrama, M.J.1
Source: Chemometrics & Intelligent Laboratory Systems. Oct2010, Vol. 103 Issue 2, p116-121. 6p.
Subjects: Radioisotopes, Counting devices, Principal components analysis, Chemical models, Solution (Chemistry), Calibration, Stochastic analysis
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of Chemometrics & Intelligent Laboratory Systems is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 53301289
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Chemometrics+%26+Intelligent+Laboratory+Systems%22">Chemometrics & Intelligent Laboratory Systems</searchLink>. Oct2010, Vol. 103 Issue 2, p116-121. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Radioisotopes%22">Radioisotopes</searchLink><br /><searchLink fieldCode="DE" term="%22Counting+devices%22">Counting devices</searchLink><br /><searchLink fieldCode="DE" term="%22Principal+components+analysis%22">Principal components analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+models%22">Chemical models</searchLink><br /><searchLink fieldCode="DE" term="%22Solution+%28Chemistry%29%22">Solution (Chemistry)</searchLink><br /><searchLink fieldCode="DE" term="%22Calibration%22">Calibration</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+analysis%22">Stochastic analysis</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Chemometrics & Intelligent Laboratory Systems is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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