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B. P. Carlin and T. A. Louis, “Bayes and Empirical Bayes Methods for Data Analysis,” 2nd Edition, Chapman and Hall, Boca Raton, 2000. doi:10.1201/9781420057669

has been cited by the following article:

• TITLE: Association between Air Cane Field Burning Pollution and Respiratory Diseases: A Bayesian Approach

  AUTHORS: Jorge Alberto Achcar, Mayara Piani Luna da Silva Sicchieri, Edson Zangiacomi Martinez

  KEYWORDS: Hospitalization Counting; Bayesian Models; Times between Hospitalization Extrapolation Days; Respiratory Diseases

  JOURNAL NAME: Journal of Environmental Protection, Vol.4 No.8A, August 27, 2013

  ABSTRACT: Respiratory diseases and air pollution are the goals of many scientific works, but studies of the relations between these diseases and cane field burning pollution are still not well studied in the literature. In this work, we consider the times between days of extrapolations of the number of daily hospitalizations due to respiratory diseases as our data. To analyze this data set, we introduce different statistical models related to burning focus pollution and their relations with the counting of hospitalizations due to respiratory diseases. Under a Bayesian approach and with the help of the free available WinBUGS software, we get posterior summaries of interest using standard MCMC (Markov Chain Monte Carlo) methods.