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EViews Enterprise 11.0 Windows x64
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[Image: z-Vx-Rt4-AZ3-MFKskuccp-Kp-Cn068-Qz2x-UWx.png]

EViews Enterprise 11.0 Windows x64
exe | x64 | File Size: 267MB


EViews is a modern econometric, statistics, and forecasting package that offers powerful analytical tools within a flexible, easy-to-use interface.

Using EViews, you can quickly and efficiently manage your data, perform econometric and statistical analysis, generate forecasts or model simulations, and produce high quality graphs and tables for publication or inclusion in other applications.

EViews is designed with your workflow in mind. The innovative EViews user-interface simplies every step of the process, from data input and import, to data visualization, statistical analysis, estimation, forecasting and model solving, publication quality presentation output.

Need to import Excel data? Just drag-and-drop your Excel file onto EViews and we'll automatically import the data. Need to produce a histogram of your data? A couple of mouse clicks, and you're done. Want to link your custom formatted table into PowerPoint? Simply copy-and-paste the table and tell PowerPoint to update the table when your EViews data change.

What's New

EViews 11 features a wide range of exciting changes and improvements. The following is an overview of the most important new features in Version 11.

EViews Interface

- Interactive command explorer to view all the applicable commands for an object and its documentation.
- Name and command auto-complete.
- Value-based spreadsheet and Geomap coloring.

Data Handling

- Integration with Python.
- Duplicates analysis.
- Split-observations high-to-low frequency conversion method.
- Interface to the following data sources
- Bureau of Economic Analysis (BEA).
- US Census.
- National Oceanic and Atmospheric Administration.

Graphs, Tables and Spools

- Geographic maps.
- Fan charts.
- Econometrics and Statistics

Estimation

- Improved Bayesian VARs.
- Mixed frequency VARs.
- Switching VARs (Markov and simple).
- Elastic net and LASSO machine learning.
- Functional coefficient and localized regression.
- Additional cluster robust standard errors.


HOMEPAGE

Code:
https://www.eviews.com/home.html

DOWNLOAD

Code:
https://rapidgator.net/file/b7497789a65d2c5ffee62e4177252a33/EViews_Enterprise_11.0_2019-06-04_x64_.rar.html
https://uploadgig.com/file/download/1FA2c3aC268ac793/EViews_Enterprise_11.0_2019-06-04_x64_.rar
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