 A group of representative measures of a set of time series and its decision support: a trial for dengue incidence data of Sri LankaC.P. Waduge, N.C. Ganegoda, D.C. Wickramarachchi, R.S. Lokupitiya and G.H.J. Lanel International Journal of Information and Decision Sciences, 2022, vol. 14, issue 3, 260-288 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. Keywords: time series; Haar wavelet; taming; representative series; decision support system; dengue incidence; Sri Lanka. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijidsc:v:14:y:2022:i:3:p:260-288 Access Statistics for this article More articles in International Journal of Information and Decision Sciences from Inderscience Enterprises Ltd |
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