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Presentation of Coupling Analysis Techniques of Maximum and Minimum Values Between N Sets of Data Using Matrix [µ][MKN]
Ist Teil von
International journal of mathematical, engineering and management sciences, 2021-08, Vol.6 (4), p.1127-1136
Ort / Verlag
Dehradun: International Journal of Mathematical, Engineering and Management Sciences
Erscheinungsjahr
2021
Link zum Volltext
Quelle
EZB Free E-Journals
Beschreibungen/Notizen
This paper deals with the presentation and study of alternative coupling techniques for maximum and minimum values between data sets, namely the problem which is examined in this work is the possible appearance of maximum or minimum values between data sets in the same or neighboring time points. The data can be time-dependent (time series) or non-time-dependent. In this work, the analysis is focused on time series and novel indices are defined in order to measure whether the values of N sets of data display in terms of time, the maximum or minimum values at the same instances or at very close instances. For this purpose, two methods will be compared, one direct method and one indirect method. The indirect method is based on Matrices of dimensionless indicators which are denoted by [μ][MKN], and the direct method is based on a variance-type measure which is denoted by [V][MKN].