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USE OF SAS-ETS AND THE BLS-CENSUS DATA FERRET FOR THE COMPREHENSIVE EVERGLADES RESTORATION PROGRAM Richard A. March, South Florida Water Management District, West Palm Beach, Florida ABSTRACT This

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How to fill out use of SAS-ETS:

1. Firstly, familiarize yourself with SAS-ETS by reading the documentation and tutorials available online. This will help you understand the capabilities and functionalities of the software.
2. Install SAS-ETS on your computer by following the installation instructions provided by SAS Institute. Ensure you meet the system requirements and have the necessary licenses.
3. Launch SAS-ETS and explore the various modules and components. Familiarize yourself with the interface and the different options available to you. This will help you navigate and utilize the software effectively.
4. Identify your data requirements and gather the necessary data for your analysis. Clean and preprocess the data, ensuring its accuracy and usability for conducting time series analysis using SAS-ETS.
5. Choose the appropriate SAS-ETS procedure or module based on your specific analysis needs. Whether you are performing forecasting, econometric modeling, or time series analysis, select the relevant tools within SAS-ETS.
6. Input your data into SAS-ETS and specify the appropriate settings and options for your analysis. This includes selecting variables, specifying time periods, and setting model parameters.
7. Run the analysis in SAS-ETS and interpret the results. Utilize the output provided by the software to gain insights and make informed decisions based on your findings.
8. Document your analysis and results using SAS-ETS. This includes saving your work, generating reports, and creating visualizations to effectively communicate your findings.
9. Continuously update your skills and knowledge in SAS-ETS by attending training programs, webinars, or conferences. Stay updated with the latest features and enhancements in the software to enhance your analysis capabilities.

Who needs use of SAS-ETS:

1. Data analysts and statisticians who are involved in time series analysis. SAS-ETS provides a comprehensive set of tools and procedures to analyze and model time-dependent data.
2. Researchers and academics who are conducting econometric modeling and forecasting. SAS-ETS enables them to explore complex relationships and make predictions based on historical data.
3. Businesses and organizations involved in demand forecasting and inventory management. SAS-ETS offers powerful forecasting capabilities to optimize resource allocation and minimize costs.
4. Financial institutions and economists who need to analyze and predict market trends. SAS-ETS provides tools for financial econometrics and enables accurate forecasting of economic variables.
5. Government agencies and policymakers who require reliable and robust analysis of time series data. SAS-ETS offers a wide range of statistical techniques to support evidence-based decision-making.
6. Students and learners seeking to enhance their skills in time series analysis. SAS-ETS provides a user-friendly interface and comprehensive documentation, making it suitable for educational purposes.

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