Identificação de outliers por alocação das observações através do modelo Poisson aplicado ao número de casos de Aids diagnosticados no Brasil

Tania Miranda Nepomucena; Marcelo Angelo Cirillo

doi:10.5433/1679-0367.2010v31n1p29

Outliers indentification by allocation of observations through the Poisson model applied to the number of Aids cases diagnosed in Brazil

Authors

Tania Miranda Nepomucena Universidade Federal de Lavras
Marcelo Angelo Cirillo Universidade Federal de Lavras

DOI:

https://doi.org/10.5433/1679-0367.2010v31n1p29

Keywords:

AIDS, Poisson Model, Outliers.

Abstract

The robust analysis variance method proposed by Bertaccini and Varriale (2006) allows the monitoring of the outliers effect in the statistic modeling process. As for that, the formation of subsets is used, where the sample units are allocated, based only on data inspection. With the purpose of extending this method to the Poisson model, this work intends to monitor the effect of outliers in the number of AIDS cases diagnosed in Brazil, from 2003 to 2006. The methodology proposed was viable and is recommended for counting data, being, therefore, an important data analysis technique used to identify outliers in samples. It can also be applied to other generalized models with appropriate changes in obtaining residuals.

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Author Biographies

Tania Miranda Nepomucena, Universidade Federal de Lavras

Acadêmica do doutorado em Estatística e Experimentação Agropecuária da UFLA / Professora do Instituto Federal de Educação, Ciência e Tecnologia, Catu-BA.

Marcelo Angelo Cirillo, Universidade Federal de Lavras

Professor Adjunto do Departamento de Ciências Exatas da UFLA.

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Published

2010-07-15

How to Cite

Nepomucena TM, Cirillo MA. Outliers indentification by allocation of observations through the Poisson model applied to the number of Aids cases diagnosed in Brazil. Semin. Cienc. Biol. Saude [Internet]. 2010 Jul. 15 [cited 2024 Nov. 21];31(1):29-35. Available from: https://ojs.uel.br/revistas/uel/index.php/seminabio/article/view/6603

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Issue

Vol. 31 No. 1 (2010)

Section

Artigos

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