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ABSTRACT A simple guide to the new technique of empirical mode decomposition (EMD) in a meteorological–climate forecasting context is presented. A single application of EMD to a time series ...
We develop methodology to bridge scenario analysis and risk forecasting, leveraging their respective strengths in policy settings. The methodology, rooted in Bayesian analysis, addresses the ...
The rising anthropogenic demand for water and increased variability of water levels is a challenge for lakes across North America. Many terminal lakes in the Great Basin struggle in the face of ...
Budget process evolution and maturity in healthcare organizations traditionally has lagged other industries, where leading-edge and data-driven forecasting approaches are currently evolving. Most ...
Every company that uses sales forecasts possesses its own technique to approach the forecasting process. Some companies have a dedicated team of forecast professionals while others use the sales staff ...
Sales forecasters balance past sales data with information on market conditions, politics, fashion and even the weather to predict future sales. Sales forecasts thus help business owners plan strategy ...