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Discrete and continuous compositions

This paper examines a dataset which is modeled well by thePoisson-Log Normal process and by this process mixed with LogNormal data, which are both turned into compositions. Thisgenerates compositional data that has zeros without any need forconditional models or assuming that there is missing or censoreddata that needs adjustment. It also enables us to model dependenceon covariates and within the composition

Geologische Vereinigung; Institut d鈥橢stad铆stica de Catalunya; International Association for Mathematical Geology; C脿tedra Llu铆s Santal贸 d鈥橝plicacions de la Matem脿tica; Generalitat de Catalunya, Departament d鈥橧nnovaci贸, Universitats i Recerca; Ministerio de Educaci贸n y Ciencia; Ingenio 2010.

Universitat de Girona. Departament d鈥橧nform脿tica i Matem脿tica Aplicada

Manager: Daunis i Estadella, Josep
Mart铆n Fern谩ndez, Josep Antoni
Other contributions: Universitat de Girona. Departament d鈥橧nform脿tica i Matem脿tica Aplicada
Author: Bacon Shone, John
Abstract: This paper examines a dataset which is modeled well by thePoisson-Log Normal process and by this process mixed with LogNormal data, which are both turned into compositions. Thisgenerates compositional data that has zeros without any need forconditional models or assuming that there is missing or censoreddata that needs adjustment. It also enables us to model dependenceon covariates and within the composition
Geologische Vereinigung; Institut d鈥橢stad铆stica de Catalunya; International Association for Mathematical Geology; C脿tedra Llu铆s Santal贸 d鈥橝plicacions de la Matem脿tica; Generalitat de Catalunya, Departament d鈥橧nnovaci贸, Universitats i Recerca; Ministerio de Educaci贸n y Ciencia; Ingenio 2010.
Document access: http://hdl.handle.net/2072/14729
Language: eng
Publisher: Universitat de Girona. Departament d鈥橧nform脿tica i Matem脿tica Aplicada
Rights: Tots els drets reservats
Subject: Poisson, Distribuci贸 de
Probabilitats
Title: Discrete and continuous compositions
Type: info:eu-repo/semantics/conferenceObject
Repository: Recercat

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