Non-extensive diffusion entropy analysis: non-stationarity in teen birth phenomena

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Paper discussing non-extensive diffusion entropy analysis and non-stationarity in teen birth phenomena.

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10 p.: ill.

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Scafetta, Nicola; Grigolini, Paolo; Hamilton, P. & West, Bruce J. February 6, 2008.

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Paper discussing non-extensive diffusion entropy analysis and non-stationarity in teen birth phenomena.

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10 p.: ill.

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Abstract: A complex process is often a balance between non-stationary and stationary components. We show how the non-extensive Tsallis q-entropy indicator may be interpreted as a measure of non-stationarity in time series. This is done by applying the non-extensive entropy formalism to the Diffusion Entropy Analysis (DEA). We apply the analysis to the study of the teen birth phenomenon. We find that the unmarried teen births are strongly influenced by social processes with memory. This memory is related to the strength of the non-stationary component of the signal and is more intense than that in the married teen time series. By using the wavelet multiresolution analysis we attempt to give a social interpretation of this effect.

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  • arXiv: cond-mat/0205524

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The Scholarly Works Collection is home to materials from the University of North Texas community's research, creative, and scholarly activities and serves as UNT's Open Access Repository. It brings together articles, papers, artwork, music, research data, reports, presentations, and other scholarly and creative products representing the expertise in our university community. Access to some items in this collection may be restricted.

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  • February 6, 2008

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  • July 24, 2013, 1:20 p.m.

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  • April 2, 2014, 4:18 p.m.

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Scafetta, Nicola; Grigolini, Paolo; Hamilton, P. & West, Bruce J. Non-extensive diffusion entropy analysis: non-stationarity in teen birth phenomena, paper, February 6, 2008; (digital.library.unt.edu/ark:/67531/metadc174685/: accessed May 30, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.