[ABE-L] Artigo sobre previ=?ISO-8859-1?Q?s=E3o_em_popula=E7=F5es_?=raras e agrupadas.

[Fernando A. S. Moura]

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