A parametric model for time-intensity curves

Paul H.C. Eilers*, Garmt B. Dijksterhuis

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

16 Citations (Scopus)


We present a phenomenological parametric model for time-intensity (T-I) curves. The rising and decaying parts of the curve are described by logistic curves. The logarithm of their product models the sensory response. A crucial feature of the model is its ability to fit the long straight tails often seen in T-I data, as well as plateaus of arbitrary length. The parameters of the model have a straightforward correspondence to the shape of the curve. We discuss fitting of the model, show results for experimental data and show how systematic patterns of deviations from the prototypical T-I curve shape lead to directions for extension of the model.

Original languageEnglish
Pages (from-to)239-245
Number of pages7
JournalFood Quality and Preference
Issue number3
Publication statusPublished - Apr 2004
Externally publishedYes


  • Curve fitting
  • Non-linear parametric curves
  • TI model
  • Time-intensity curves

Fingerprint Dive into the research topics of 'A parametric model for time-intensity curves'. Together they form a unique fingerprint.

Cite this