Penalized likelihood and multi-objective spatial scans for the detection and inference of irregular clusters.
Background: Irregularly shape d spatial clusters are difficult to delineate. A cluster found by an algorithm often spreads through large portions of the map, impacting its geographical meaning. Penalized likelihood methods for Kulldorff’ s spatial scan statistics have been used to control the excess...
| Autor principal: | |
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| Outros Autores: | , , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2012
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| Texto completo: | http://www.repositorio.ufop.br/handle/123456789/1738 |
| País: | Brasil |
| Oai: | oai:localhost:123456789/1738 |