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الإنجليزية) 1:
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TSA statistical model to predict the demand for cement in the Arabic Republic of EgyptThe nature of the problem The cement industry is one of the most important modern industries, with an important role in the progress of the construction boom, so the need for cement industry increased by increased residential density and expansion in construction and construction as well as used in the manufacture of concrete products and contribute to the provision of foreign exchange through export.The goal of the researchThis research aims to build a statistical model to predict the demand for cement, the variables affecting demand for cement to increase production and the relative importance of each variable, as well as the requirements of foreign exchange for imports.Significance of the study The importance of this research study is to assist decision makers in the field of cement through the national plan for the cement industry, and policies for the industry, and it planning resources available under the projected requirements to achieve the objectives of economic development under the changes surrounding the cement industry.Research planTo achieve the objectives of the research study included five sections can be displayed and summarized as follows:Section 1:The researcher addresses the general framework for research through the presentation of an introduction and problem of research and the importance of the objective and hypotheses, with a summary of previous studies.Section II:A researcher examines the theoretical framework of the cement industry in terms of establishment and development stages and species and economic structure, as well as the factors affecting the demand of cement.Section III:A researcher proposed statistical methods applied to: The shrinking Shrunken Regression regression model The regression model and integrative ARIMA moving averages.Section IV:When the researcher applies statistical methods to the study variables.Section 5:When the Finder displays all the findings as a result of the statistical methods used with some recommendations.
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