An application of compound Poisson modelling to biological dosimetry

Pedro Puig; Joan Francesc Barquinero

doi:https://doi.org/10.1098/rspa.2010.0384

An application of compound Poisson modelling to biological dosimetry

Pedro Puig, Joan Francesc Barquinero

Research output: Contribution to journal › Article › Research › peer-review

29 Citations (Scopus)

Abstract

In this paper, the rth-order univariate Hermite distributions are proposed to model the number of dicentrics in biological dosimetry. These families of distributions are introduced from compound Poisson process modelling. Regression models appropriate for analysing the number of dicentrics as a function of doses of radiation are presented, and an example of application is also given. This journal is © 2011 The Royal Society.

Original language	English
Pages (from-to)	897-910
Journal	Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume	467
DOIs	https://doi.org/10.1098/rspa.2010.0384
Publication status	Published - 8 Mar 2011

Keywords

Count data
Dicentric
Hermite distribution
Non-standard conditions
Overdispersion
Zero inflation

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https://doi.org/10.1098/rspa.2010.0384

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title = "An application of compound Poisson modelling to biological dosimetry",

abstract = "In this paper, the rth-order univariate Hermite distributions are proposed to model the number of dicentrics in biological dosimetry. These families of distributions are introduced from compound Poisson process modelling. Regression models appropriate for analysing the number of dicentrics as a function of doses of radiation are presented, and an example of application is also given. This journal is {\textcopyright} 2011 The Royal Society.",

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AU - Barquinero, Joan Francesc

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AB - In this paper, the rth-order univariate Hermite distributions are proposed to model the number of dicentrics in biological dosimetry. These families of distributions are introduced from compound Poisson process modelling. Regression models appropriate for analysing the number of dicentrics as a function of doses of radiation are presented, and an example of application is also given. This journal is © 2011 The Royal Society.

KW - Count data

KW - Dicentric

KW - Hermite distribution

KW - Non-standard conditions

KW - Overdispersion

KW - Zero inflation

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DO - https://doi.org/10.1098/rspa.2010.0384

M3 - Article

VL - 467

SP - 897

EP - 910

ER -

An application of compound Poisson modelling to biological dosimetry

Abstract

Keywords

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