Skip to main content

Time and Spatial Series

  • Chapter
  • First Online:
Large Sample Techniques for Statistics

Part of the book series: Springer Texts in Statistics ((STS,volume 0))

  • 4103 Accesses

Abstract

Time series occur naturally in a wide range of practices. For example, the opening price of a certain stock at the New York Stock Exchange, the monthly rainfall total of a certain region, and the CD4+ cell count over time of an individual infected with the HIV virus may all be viewed as time series.

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 79.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Corresponding author

Correspondence to Jiming Jiang .

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Jiang, J. (2010). Time and Spatial Series. In: Large Sample Techniques for Statistics. Springer Texts in Statistics, vol 0. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6827-2_9

Download citation

Publish with us

Policies and ethics