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Macroscopic characterization of data sets by using the average absolute deviation

This paper describes a method for getting a synthesis of the knowledge about a given system, assuming that a data set x of measurements of a variable Ξ is known: i.e., separate data are combined in order to form a coherent whole, à la thermodynamics. For getting the macroscopic characterization of time series data, one takes advantage of the average absolute deviation concept together with an already known thermodynamic-like approach.
Year of publication:
2014
Authors: Campos, Diógenes
Published in:
Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 393.2014, C, p. 222-234
Publisher: Elsevier
Subject: Average absolute deviation | Mean deviation | Thermodynamic description | Macroscopic description of data | Time series | Vostok ice cores
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Type of publication: Article
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Persistent link: https://www.econbiz.de/10011057683
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