A NEW METHODE OF ESTIMATION OF AUTOREGRESSIVE COEFFICIENTS | ||
Baghdad College of Economic sciences University | ||
Article 1, Volume 0, Issue 40, August 2018, Pages 383-394 | ||
Author | ||
Dr. Ahmed S.El.Aloosy | ||
Abstract | ||
The aim of this statistical methodologies is to detect pattern of air pollution effect on public health. Two regions were chosen, the first is considered to be a clean region (non-industrial), the second is polluted region (industrial). We assume that the two regions have the same weather conditions, but are different in their day-to-day variation in their air pollution due to industrial activities. Under these assumptions, the statistical analysis focusis on the pattern of air pollution effect on public health in these two regions and give a model to forcast the number of patient visits in these two areas. The autocorrelation functions of the autoregressive model, were estimated by the eigenvalues of the transition matrix of the patient’s daily visits. | ||
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