Statistical Software

dc.contributor.authorMedini Atmane
dc.date.accessioned2025-11-20T09:00:55Z
dc.date.issued2025
dc.descriptionمطبوعة بيداغوجية
dc.description.abstractEViews is a powerful statistical and econometric software designed for data analysis, forecasting, and economic modeling. It provides an intuitive interface for handling large datasets and performing complex analyses efficiently. The software allows users to import data from various sources, clean datasets, and structure variables for analysis. Within the EViews environment, data, equations, models, and graphs are organized as objects, enabling structured and efficient research. Users can perform both basic and advanced statistical analyses, including descriptive statistics, hypothesis testing, and sophisticated econometric techniques. EViews supports the construction and estimation of economic models to analyze and interpret data effectively. Time series analysis and forecasting tools, such as ARIMA models, cointegration tests, and VAR models, help identify trends and make accurate predictions. The software also facilitates panel data analysis through fixed and random effects models, unit root tests, and GMM estimation, allowing for robust econometric studies. Additionally, regression analysis methods, including OLS, logistic regression, and nonlinear regression, provide reliable techniques for predictive modeling. Beyond statistical modeling, EViews offers advanced data visualization tools, enabling users to create high-quality charts, histograms, and correlation matrices for clear data representation. Automation and scripting capabilities enhance efficiency by allowing users to automate repetitive tasks and streamline workflows. Lastly, EViews supports macroeconomic and financial modeling, offering tools for policy evaluation, economic forecasting, and financial data analysis, making it an essential software for economists, researchers, and analysts.
dc.identifier.citationAtmane. Statistical Software.مطبوعة بيداغوجية. قسم المالية والمحاسبية. كلية العلوم الاقتصادية والتجارية وعلوم التسيير. 2025.جامعة الوادي.
dc.identifier.urihttps://archives.univ-eloued.dz/handle/123456789/40762
dc.language.isoen
dc.publisherUniversity of Eloued جامعة الوادي
dc.titleStatistical Software
dc.typeLearning Object

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