An item response theory approach to spatial cluster estimation and visualization.

Simple item page
dc.contributor.authorCançado, André Luiz Fernandes
dc.contributor.authorGomes, Antonio E.
dc.contributor.authorSilva, Cibele Queiroz da
dc.contributor.authorOliveira, Fernando Luiz Pereira de
dc.contributor.authorDuczmal, Luiz Henrique
dc.date.accessioned2018-01-30T13:29:05Z
dc.date.available2018-01-30T13:29:05Z
dc.date.issued2016
dc.description.abstractThe scan statistic is widely used in spatial cluster detection applications of inhomogeneous Poisson processes. The most popular variant of the spatial scan is the circular scan. However, such approach has several limitations, in particular, the circular window is not suitable to make the correct description of irregularly shaped and/or unconnected clusters. Additionally, such methodology does not incorporate the tools needed for quantifying the uncertainty in the description of the most likely cluster in the analysis. In the present work we build upon the previously proposed methodology called intensity function a more efficient and accurate way of defining the uncertainty in the identification of spatial clusters using Item Response Theory ideas. Using simulated data we show that the proposed method can correctly identify primary, secondary and irregular clusters.pt_BR
dc.identifier.citationCANÇADO, A. L. F. et al. An item response theory approach to spatial cluster estimation and visualization. Environmental and Ecological Statistics, v. 23, p. 1-17, 2016. Disponível em: <https://link.springer.com/article/10.1007/s10651-016-0347-x>. Acesso em: 16 jan. 2018.pt_BR
dc.identifier.doihttps://doi.org/10.1007/s10651-016-0347-x
dc.identifier.issn 1573-3009 
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/9384
dc.identifier.uri2https://link.springer.com/article/10.1007/s10651-016-0347-xpt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectInhomogeneous poisson processpt_BR
dc.subjectItem response theorypt_BR
dc.subjectIrregularly shaped spatial clusterspt_BR
dc.subjectScan statisticpt_BR
dc.titleAn item response theory approach to spatial cluster estimation and visualization.pt_BR
dc.typeArtigo publicado em periodicopt_BR
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ARTIGO_ItemResponseTheory.pdf
Size:
8.58 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
924 B
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
DEEST - Artigos publicados em periódicos