@Article{pakinsight,
AUTHOR = {},
TITLE = {Another Look at the Sarima Modelling of the Number of Dengue Cases in Campinas, State of Sao Paulo, Brazil},
JOURNAL = {International Journal of Natural Sciences Research},
VOLUME = {2},
YEAR = {2014},
NUMBER = {9},
PAGES = {156-164},
URL = {http://www.pakinsight.com/archive/63/09-2014/9},
ISSN = {2311-4746},
ABSTRACT = {Martinez, et al. [1] analysed monthly numbers of dengue cases as reported in Campinas, southeast Brazil from 1998 to 2008, by SARIMA methods. Assuming X is the original series, they analysed the logarithm of X + 1. The models they proposed and compared are of orders (2,1,2)x(1,1,1)12, (2,1,1)x(1,1,1)12, (1,1,2)x(1,1,1)12, (1,1,1)x(1,1,1)12, (2,1,3)x(1,1,1)12, and (1,1,3)x(1,1,1)12. Using the R software, they chose the SARIMA(2,1,2)x(1,1,1)12 model as the best on the basis of Akaike information criterion, AIC. The result in this work is different: the SARIMA(2,1,1)x(1,1,1)12 model is herein adjudged as the best on the same minimum AIC grounds. },
DOI = {}
}