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

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Title

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

Creator

  • Author: Ignaccolo, Massimiliano
    Creator Type: Personal
    Creator Info: University of North Texas
  • Author: Allegrini, Paolo
    Creator Type: Personal
    Creator Info: Istituto di Linguistica Computazionale del Consiglio Nazionale delle Ricerche
  • Author: Grigolini, Paolo
    Creator Type: Personal
    Creator Info: University of North Texas; Università di Pisa; Istituto di Biofisica del Consiglio Nazionale delle Ricerche
  • Author: Hamilton, P.
    Creator Type: Personal
    Creator Info: Texas Woman's University
  • Author: West, Bruce J.
    Creator Type: Personal
    Creator Info: Duke University

Date

  • Creation: 2008-02-02

Language

  • English

Description

  • Physical Description: 22 p.: ill.
  • Content Description: This paper is devoted to the problem of statistical mechanics raised by the analysis of an issue of sociological interest: the teen birth phenomenon.

Subject

  • Keyword: statistical mechanics
  • Keyword: sociological time series
  • Keyword: complexity
  • Keyword: scaling
  • Keyword: detrending methods

Source

  • Website: arXiv: physics/0301058

Relation

  • Is Version Of: Scaling in Non-stationary time series I, ark:/67531/metadc174690

Collection

  • Name: UNT Scholarly Works
    Code: UNTSW

Institution

  • Name: UNT College of Arts and Sciences
    Code: UNTCAS

Rights

  • Rights Access: public

Resource Type

  • Paper

Format

  • Text

Identifier

  • DOI: 10.1016/j.physa.2003.12.033
  • Archival Resource Key: ark:/67531/metadc174691

Degree

  • Academic Department: Physics
  • Academic Department: Center for Nonlinear Science

Note

  • Display Note: This is the pre-print version of the paper.
  • Display Note: 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.
  • Display Note: "Series II."
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