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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
24/09/2010 |
Data da última atualização: |
18/10/2010 |
Autoria: |
ASSUNÇÃO, R.; CORREA, T. |
Afiliação: |
RENATO ASSUNÇÃO, UFMG; THAÍS CORREA, UFMG. |
Título: |
Shiryaev-Roberts method to detect space-time emerging clusters. |
Ano de publicação: |
2007 |
Fonte/Imprenta: |
In: DAVID JUNIOR, C. A.; MONTEIRO, A. M. V. (Ed.). Advances in Geoinformatics. Berlin: Springer-Verlag, 2007. |
Páginas: |
p. 283-292. |
Idioma: |
Inglês |
Conteúdo: |
In this paper, we describe a method to analyze space and time surveillance data in the form of point processes. We propose a probability model to describe eventually emerging spatial clusters with a minimum requirement of user-defined parameters. Based on this model for the emerging spatial clusters, we use the Shiryaev-Robert statistic and adopt a martingale approach to derive the test properties. Hence, we are able to control the average length run of our surveillance method under the absence of emerging spatial clusters. We define appropriately the average run length for the situation when there are clusters present in the data and illustrate the method in practice. The algorithm is implemented in a freely available stand-alone software and it is expected soon to be in TERRAVIEW. |
Palavras-Chave: |
Probability model; Shiryaev-Robert statistic; Space-time clusters; Spatial clusters. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01390naa a2200193 a 4500 001 1862877 005 2010-10-18 008 2007 bl uuuu u00u1 u #d 100 1 $aASSUNÇÃO, R. 245 $aShiryaev-Roberts method to detect space-time emerging clusters. 260 $c2007 300 $ap. 283-292. 520 $aIn this paper, we describe a method to analyze space and time surveillance data in the form of point processes. We propose a probability model to describe eventually emerging spatial clusters with a minimum requirement of user-defined parameters. Based on this model for the emerging spatial clusters, we use the Shiryaev-Robert statistic and adopt a martingale approach to derive the test properties. Hence, we are able to control the average length run of our surveillance method under the absence of emerging spatial clusters. We define appropriately the average run length for the situation when there are clusters present in the data and illustrate the method in practice. The algorithm is implemented in a freely available stand-alone software and it is expected soon to be in TERRAVIEW. 653 $aProbability model 653 $aShiryaev-Robert statistic 653 $aSpace-time clusters 653 $aSpatial clusters 700 1 $aCORREA, T. 773 $tIn: DAVID JUNIOR, C. A.; MONTEIRO, A. M. V. (Ed.). Advances in Geoinformatics. Berlin: Springer-Verlag, 2007.
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Embrapa Agricultura Digital (CNPTIA) |
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13. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | ASSUNÇÃO, P. E. V.; WANDER, A. E. Analysis of cointegration in Brazilian bean market. In: INTERNATIONAL CONFERENCE ON AGRICULTURAL STATISTICS, 6., 2013, Rio de Janeiro. Improving statistics for food security, sustainable agriculture, and rural development: linking statistics with decision making: proceedings. Rio de Janeiro: IBGE, 2015. p. 710-711. ICAS 2013.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Arroz e Feijão. |
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17. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | ASSUNÇÃO, H. do N.; PORRO, R. Extração de madeira e organização social no PDS Virola-Jatobá, Anapu, Pará: percepções e discursos contrastantes em um assentamento ambientalmente diferenciado. Sustentabilidade em Debate, Brasília, DF, v. 9, n. 3, p. 79-95, dez. 2018.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
Biblioteca(s): Embrapa Amazônia Oriental. |
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