Time Series Analysis - Exponential Smoothing

See also:

• Exponential Smoothing - General Introduction
  Exponential smoothing has become very popular as a forecasting method for a wide variety of time series data. Historically, the method was independently developed by Brown and Holt. Brown worked for the US Navy during World War II, where his assignment was to design a tracking system for fire-control information to compute the location of submarines. Later, he applied this technique to the forecasting of demand for spare parts (an inventory control problem). He described those ideas in his 1959 book on inventory control. Holt's research was sponsored by the Office of Naval Research; independently, he developed exponential smoothing models for constant processes, processes with linear trends, and for seasonal data.
• Seasonal and Non-Seasonal Exponential Smoothing
  
• Time Series Analysis - Exponential Smoothing Models
  

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