Scaling in Non-stationary Time Series 2: Teen Birth Phenomenon

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This paper is devoted to the problem of statistical mechanics raised by the analysis of an issue of sociological interest: the teen birth phenomenon.

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22 p.: ill.

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Ignaccolo, Massimiliano; Allegrini, Paolo; Grigolini, Paolo; Hamilton, P. & West, Bruce J. February 2, 2008.

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This paper is devoted to the problem of statistical mechanics raised by the analysis of an issue of sociological interest: the teen birth phenomenon.

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22 p.: ill.

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This is the pre-print version of the paper.

Abstract: This paper is devoted to the problem of statistical mechanics raised by the analysis of an issue of sociological interest: the teen birth phenomenon. It is expected that these data are characterized by correlated fluctuations, reflecting the cooperative properties of the process. However, the assessment of the anomalous scaling generated by these correlations is made difficult, and ambiguous as well, by the non-stationary nature of the data that show a clear dependence on seasonal periodicity (periodic component) and an average changing slowly in time (slow component), as well. We use the detrending techniques described in the companion paper, to safely remove all the biases and to derive the genuine scaling of the teen birth phenomenon.

"Series II."

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  • arXiv: physics/0301058

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Scaling in Non-Stationary time series I (Paper)

Scaling in Non-Stationary time series I

Paper discussing scaling in non-stationary time series.

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Scaling in Non-stationary time series I, ark:/67531/metadc174690

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  • February 2, 2008

Added to The UNT Digital Library

  • July 24, 2013, 1:20 p.m.

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  • July 13, 2015, 4:59 p.m.

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Ignaccolo, Massimiliano; Allegrini, Paolo; Grigolini, Paolo; Hamilton, P. & West, Bruce J. Scaling in Non-stationary Time Series 2: Teen Birth Phenomenon, paper, February 2, 2008; (digital.library.unt.edu/ark:/67531/metadc174691/: accessed September 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.