Macroscopic characterization of data sets by using the average absolute deviation

Diógenes Campos

Physica A: Statistical Mechanics and its Applications, 2014, vol. 393, issue C, 222-234

Abstract: 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.

Keywords: Average absolute deviation; Mean deviation; Thermodynamic description; Macroscopic description of data; Time series; Vostok ice cores (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:393:y:2014:i:c:p:222-234

DOI: 10.1016/j.physa.2013.09.013

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