[ABE-L] Artigo sobre previ=?ISO-8859-1?Q?s=E3o_em_popula=E7=F5es_?=raras e agrupadas.
Fernando A. S. Moura
fmoura em im.ufrj.br
Seg Jun 29 16:04:01 -03 2015
Caros Redistas
Já está disponível para "download" no sítio
http://projecteuclid.org/adv/euclid.ba da Revista "Bayesian Analysis" o
artigo
"A Mixture Model for Rare and Clustered Populations under Adaptive Cluster
Sampling"
Este artigo foi extraído da tese de doutorado da minha ex-aluna Kelly Cristina
Mota Gonçalves, atualmente professora da UFF. Cabe ressaltar que o seu
trabalho de tese foi um dos três escolhidos para ser apresentado no IV Latin-
American Meeting on Bayesian Statistics IV COBAL.
Parabéns Kelly!!
Que você continue realizando pesquisas nesta área ainda carente de
pesquisadores brasileiros e do exterior.
Abstract
Rare populations, such as endangered species, drug users and individuals
infected by rare diseases, tend to cluster in regions. Adaptive cluster
designs are generally applied to obtain information from clustered and sparse
populations. The aim of this work is to propose a unit-level mixture model for
clustered and sparse populations when the data are obtained from an adaptive
cluster sample. Our approach considers heterogeneity among units belonging to
different clusters. The proposed model is evaluated using simulated data and a
real experiment in which adaptive samples were drawn from an enumeration of a
waterfowl species in a 5,000 km^2 area of central Florida. The results show
that the model is efficient under many settings, even when the level of
heterogeneity is low.
Keyword: Informative Sampling, Poisson Mixture, RJMCMC
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