الفهرس 
مستخلص الرسالةيوجد فقط 14 صفحة متاحة للعرض العام
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المستخلص
Numerous statistical techniques have been used in the descriptive analysis of the data among them multi-variable methods that are used to describe the relationship between a a group of independent variables and one variable or more of the dependent variables and one of these multiple methods is the analysis of differentiation which has many methods and models and by the variations of these models, the obtained percentage of classification obtained will b improved. The importance of using logistic analysis is increasing day by day, as it is interested in data analysis with bilateral response, which usually have the response variable (Response Variable) bilaterally (Binary) as the case of Success (Success) where the variable takes the response value (1) and the event of failure (Failure) takes the value (0). This study aims at reaching the model that achieves the highest available classification resolution by taking into account the assumptions of each model and the conditions of its application on the available data. In this study there is a comparison between logistic regression and analysis of differentiation and estimating the parameters of each, so as to reach a better model which can be used in data classification. The study concluded that the logistic regression is better than the analysis of differentiation, and the applied has been omade study on a group of influential data on the public health data.