Journal of Environmental Protection

Vol.3 No.10(2012), Paper ID 23866, 10 pages

DOI:10.4236/jep.2012.310152

 

Non-Homogeneous Poisson Processes Applied to Count Data: A Bayesian Approach Considering Different Prior Distributions

 

Lorena Vicini, Luiz K. Hotta, Jorge A. Achcar

 

Department of Statistics, Federal University of Santa Maria, Santa Maria, Brazil
Department of Statistics, University of Campinas, Campinas, Brazil
Department of Social Medicine, Medical School, University of S?o Paulo, Ribeir?o Preto, Brazil

 

Copyright © 2012 Lorena Vicini, Luiz K. Hotta, Jorge A. Achcar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Vicini, L. , Hotta, L. and Achcar, J. (2012) Non-Homogeneous Poisson Processes Applied to Count Data: A Bayesian Approach Considering Different Prior Distributions. Journal of Environmental Protection, 3, 1336-1345. doi: 10.4236/jep.2012.310152.

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