Skip to main content

Modelling and Analysis of Data that Exhibit Temporal Decay

Buy Article:

$43.00 plus tax (Refund Policy)

Two recent examples of data from statistical consulting work form the basis of this paper. Both data sets arose from situations where temporal decay was expected, and different models for this are discussed, in particular, variants on simple exponential decay: hyperexponential (or mixed exponential) decay and models based on differential equations. Nonparametric estimation, using local quadratic smoothing of the data, of components of these models is discussed and employed to help to check the appropriateness or otherwise of existing parametric analyses of the data. In one example, the suitability of the parametric analysis is confirmed; in the other, the parametric assumptions made at the time are shown to have some flaws, and an improved parametric analysis is provided.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: Differential equations; Hyperexponential; Local quadratic smoothing; Nonparametric estimation; Saddlepoint approximation; Temporal decay

Document Type: Original Article

Affiliations: 1: University of Queensland, Brisbane, Australia, 2: The Open University, Milton Keynes, UK

Publication date: 01 January 1999

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more