Skip to main content

Frequency Analysis of Time Series

  • Chapter
Advanced Linear Modeling

Part of the book series: Springer Texts in Statistics ((STS))

  • 1439 Accesses

Abstract

Consider a sequence of observations y l, y 2,...,y n taken at equally spaced time intervals. Some of the many sources of such data are production from industrial units, national economic data, and regularly recorded biological data (e.g., blood pressures taken at regular intervals). The distinguishing characteristic of time series data is that because data are being taken on the same object over time, the individual observations are correlated.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer Science+Business Media New York

About this chapter

Cite this chapter

Christensen, R. (2001). Frequency Analysis of Time Series. In: Advanced Linear Modeling. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3847-6_4

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-3847-6_4

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-2940-2

  • Online ISBN: 978-1-4757-3847-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics