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Time Series Analysis

In: Advanced Statistics for the Behavioral Sciences

Author

Listed:
  • Jonathon D. Brown

    (University of Washington, Department of Psychology)

Abstract

Many phenomena unfold over time. For example, stock prices rise and fall, diseases run their course, and relationships ebb and flow. Occurrences like these create a time series — a sequence of observations identified by the order in which they occur. Owing to properties of inertia and persistence, the observations in a time series tend to change slowly and are frequently characterized by dependencies. Consequently, previous observations provide information about present observations, and ordinary least squares is an inefficient way to estimate the data.

Suggested Citation

  • Jonathon D. Brown, 2018. "Time Series Analysis," Springer Books, in: Advanced Statistics for the Behavioral Sciences, chapter 0, pages 449-494, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-93549-2_13
    DOI: 10.1007/978-3-319-93549-2_13
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