
Open Data Cube (ODC)
The open-source standard for indexing and analyzing multi-dimensional Earth Observation data at scale.
EViews offers financial institutions, corporations, government agencies, and academics access to powerful statistical, time series, forecasting, and modeling tools.

EViews is a statistical package used for econometric analysis, forecasting, and simulation. It provides tools for data management, statistical analysis, time series analysis, and forecasting. EViews features an object-oriented interface, offering access to powerful statistical and econometric methods. It is designed for users in finance, economics, and related fields, including researchers, analysts, and students. EViews supports a wide range of statistical techniques, including regression analysis, time series modeling, panel data analysis, and forecasting methods. It integrates data handling, statistics, and forecasting, presented within a user-friendly environment. The software is continuously updated with new features and improvements to existing methodologies, ensuring it remains a relevant tool for econometric analysis.
EViews is a statistical package used for econometric analysis, forecasting, and simulation.
Explore all tools that specialize in time-series analysis. This domain focus ensures EViews delivers optimized results for this specific requirement.
Explore all tools that specialize in forecasting. This domain focus ensures EViews delivers optimized results for this specific requirement.
Explore all tools that specialize in statistical analysis. This domain focus ensures EViews delivers optimized results for this specific requirement.
Explore all tools that specialize in simulation. This domain focus ensures EViews delivers optimized results for this specific requirement.
Implements the JDemetra+ library for advanced seasonal adjustment of time series data, removing seasonal components to reveal underlying trends.
Integrates the Facebook Prophet forecasting model for time series prediction, particularly effective with data exhibiting seasonality and trend changes.
Estimates Autoregressive Distributed Lag (ARDL) models at different quantiles, enabling analysis of distributional effects and tail behavior.
Combines Mixed Data Sampling (MIDAS) with Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models for volatility forecasting using data of different frequencies.
Enhances Elastic Net regularization for linear regression models, combining L1 and L2 penalties to handle multicollinearity and variable selection.
Download the EViews installation package from the EViews website.
Install EViews by running the installer and following the on-screen prompts.
Launch EViews after installation.
Register EViews with a valid serial number or use the Student Version Lite.
Familiarize yourself with the EViews interface, including menus, toolbars, and workfile window.
Load your data into an EViews workfile, choosing the appropriate data import format.
Explore the EViews help documentation and tutorials for guidance on specific tasks and features.
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"EViews is a leading econometric software favored for its ease of use and powerful analytical capabilities, often used by financial institutions, government agencies, and academics."
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