Complexity, multiresolution, non-stationarity and entropic scaling: Teen birth thermodynamics

dc.creatorScafetta, Nicola
dc.creatorWest, Bruce J.
dc.date2002-07-22
dc.date2004-04-12
dc.date.accessioned2026-07-07T02:46:24Z
dc.date.available2026-07-07T02:46:24Z
dc.descriptionThis paper presents a statistical methodology for analyzing a complex phenomenon in which deterministic and scaling components are superimposed. Our approach is based on the wavelet multiresolution analysis combined with the scaling analysis of the entropy of a time series. The wavelet multiresolution analysis decomposes the signal in a {\it scale-by-scale} manner. The {\it scale-by-scale} decomposition generates smooth and detail curves which are evaluated and studied. A wavelet-based smoothing filtering is used to estimate the daily birth rate and conception rate during the year. The scaling analysis is based upon the Diffusion Entropy Analysis (DEA). The joint use of the DEA and the wavelet multiresolution analysis allows: 1) the separation of the deterministic and, therefore, non-scaling component from the scaling component of the signal; 2) the determination of the stochastic information characterizing the teen birth phenomenon at each time scale. The daily data cover the number of births to teens in Texas during the period from 1964 to 1999.
dc.description25 pages, 14 figures. In press on J. Math. Sociology
dc.identifierhttps://arxiv.org/abs/cond-mat/0207536
dc.identifierhttp://arxiv.org/abs/cond-mat/0207536
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/19658
dc.subjectStatistical Mechanics
dc.titleComplexity, multiresolution, non-stationarity and entropic scaling: Teen birth thermodynamics
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