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A group of representative measures of a set of time series and its decision support: a trial for dengue incidence data of Sri Lanka

Author

Listed:
  • C.P. Waduge
  • N.C. Ganegoda
  • D.C. Wickramarachchi
  • R.S. Lokupitiya
  • G.H.J. Lanel

Abstract

Partitioning a time series into a set of subseries is required in some temporal investigations. Here, a cross-sectional approach is implemented for such subseries to design representative series. The series containing point-wise arithmetic means (mean series) is somewhat the simplest choice, when such a representative is required. However, it may not acquire important temporal variations. In this paper, several alternatives are proposed based on a class of measures called ultimate tamed series (UTS). Here, an operation called taming is implemented upon time series and it is non-commutative and non-associative. The taming is carried out with the aid of discrete Haar wavelet, which is subscribed by both point-wise concern and local trend given by an adjacent point. We conducted a trial for this using a dataset of disease incidence. Better-informed decisions are possible via the proposed architecture of processing time series data.

Suggested Citation

  • C.P. Waduge & N.C. Ganegoda & D.C. Wickramarachchi & R.S. Lokupitiya & G.H.J. Lanel, 2022. "A group of representative measures of a set of time series and its decision support: a trial for dengue incidence data of Sri Lanka," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 14(3), pages 260-288.
    • Handle: RePEc:ids:ijidsc:v:14:y:2022:i:3:p:260-288
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