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Time Series Analysis

  • Robert P. Trueblood
  • John N. LovettJr.

Abstract

In Most Organizations, it is helpful, even vital, to forecast activities into the future. We would like to predict, as accurately as possible, information such as demand for goods and services, personnel requirements, sales, expenses, inventory requirements, profits, market share, and many other aspects of our operations. This knowledge obviously helps us plan for the future and stay competitive. If the data changes over time, and we are primarily interested in using past performance to predict the future, our diagnostic tree in Figure 1–3 directs us to time series analysis, or forecasting.

Keywords

Time Series Analysis Forecast Error Seasonal Forecast Exponential Smoothing Seasonal Factor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Robert P. Trueblood and John N. Lovett, Jr. 2001

Authors and Affiliations

  • Robert P. Trueblood
  • John N. LovettJr.

There are no affiliations available

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