Time Series Analysis

  • Richard M. Heiberger
  • Burt Holland
Part of the Springer Texts in Statistics book series (STS)

Abstract

Time series analysis is the technique used to study observations that are measured over time. Examples include natural phenomena (temperature, humidity, wind speed) and business variables (price of commodities, stock market indices) that are measured at regular intervals (hourly, daily).

Keywords

Time Series Akaike Information Criterion Time Series Analysis Move Average Standardize Residual 
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

© Springer Science+Business Media New York 2004

Authors and Affiliations

  • Richard M. Heiberger
    • 1
  • Burt Holland
    • 1
  1. 1.Department of StatisticsTemple UniversityPhiladelphiaUSA

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