الفهرس 
الفصل الأول : مقدمة البحثيوجد فقط 14 صفحة متاحة للعرض العام
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المستخلص
Statistical models have the attention of many researchers in all different fields of science because of the important role that play in describing the relationship between response variables and explanatory variables, and because of this role study of the statistical models have interest and continuous development to become more realistic and credible. In this study the methods of Generalized Additive Models and Multiple Variables Models will be used as appropriate methods for the analysis of time series which belong to air pollution and its influence on number of deaths of elder people when the data have the estimated regression coefficients are small and at the same time the existence of confounding factors. This study aims to show the bad influence of air pollution on health through constricting statistical model to predict the number of deaths of elder people in Egypt by using Generalized Additive Models and Multiple Variables Models to evaluate the influence of its usage in improving the statistical influence in the field of environment.