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FAME Desktop Add-in for Excel: FAME Desktop is an Excel add-in that supports the =FMD(expression, sd, ed,0, freq, orientation) and =FMS(expression, freq + date) formulas, just as the 4GL command prompt does. These formulas can be placed in Excel spreadsheets and are linked to FAME objects and analytics stored on a FAME server. Sample Excel ...
Hawths Tools yes (Requires ArcGIS, which is not free) Windows: Hawthorne Beyer Website: Ecology: Analysis, sampling, animal movements, kernel, raster, table, vector editing, specialist and other tools. Freeware Fragstats yes Windows: Dr. Kevin McGarigal - University of Massachusetts Website: Landscape metrics for categorical map patterns
GEvom — Free upon request for academic use. Windows-only. GMDH Shell — GMDH-based, predictive analytics and time series forecasting software. Free Academic Licensing and Free Trial version available. Windows-only. KnowledgeMiner — Commercial product. Mac OS X-only. Free Demo version available. PNN Discovery client — Commercial product ...
Datarails was founded in 2015 by Didi Gurfinkel (CEO), Eyal Cohen (COO) and Oded Har-Tal (CTO). It is based in New York, and has offices in Israel. [4] [5] [6]In June 2021, the company had raised US$55 million in Series A funding from investors Zeev Ventures, Vertex Ventures, Innovation Endeavors, and Vintage Investment Partners.
A free version of SAS was introduced for students in 2010. [48] SAS Social Media Analytics, a tool for social media monitoring, engagement and sentiment analysis, was also released that year. [49] SAS Rapid Predictive Modeler (RPM), which creates basic analytical models using Microsoft Excel, was introduced the same year.
EViews can be used for general statistical analysis and econometric analyses, such as cross-section and panel data analysis and time series estimation and forecasting. EViews combines spreadsheet and relational database technology with the traditional tasks found in statistical software, and uses a Windows GUI .
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Forecasting is the process of making predictions based on past and present data. Later these can be compared with what actually happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis.
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