Time series analysis

Time series analysis can be used to quantitatively describe, explain, and predict road safety developments. Time series analysis techniques offer the possibility of quantitatively modelling road safety developments in such a way that the dependencies between the observations of time series data are taken into account. This fact sheet explains time series analysis and discusses the functionality of regression, ARMA, ARIMA, DRAG, and state space models. These models are illustrated by applying them to relatively simple descriptive analyses of time series. (A) This fact sheet may be accessed by Internet users at: http://www.swov.nl/rapport/Factsheets/FS_Time_series_analysis.pdf. (The title of the Dutch version of this fact sheet is: 'De analyse van tijdreeksen').

  • Publication Date: 2006

Language

  • English

Media Info

  • Pagination: 8p
  • Serial:
    • FACT SHEET
    • Publisher: Institute for Road Safety Research, SWOV

Subject/Index Terms

Filing Info

  • Accession Number: 01060877
  • Record Type: Publication
  • Source Agency: Institute for Road Safety Research, SWOV
  • Files: ITRD
  • Created Date: Sep 10 2007 1:22PM