Scaling in non-stationary time series. (II). Teen birth phenomenon

被引:6
|
作者
Ignaccolo, M. [1 ]
Allegrini, P. [2 ]
Grigolini, P. [1 ,3 ,4 ]
Hamilton, P. [5 ]
West, B.J. [6 ,7 ]
机构
[1] Center for Nonlinear Science, University of North Texas, P.O. Box 311427, Denton, TX 76203-1427, United States
[2] Ist. di Linguistica Computazionale, CNR, Area della Ricerca di Pisa, Via Moruzzi 1, 56124 Pisa, Italy
[3] Dipartimento di Fisica, Università di Pisa, INFM, Via Buonarroti 2, 56127 Pisa, Italy
[4] Istituto dei Processi Chimico Fisici, CNR, Area della Ricerca di Pisa-S, Via Moruzzi 1, 56124 Pisa, Italy
[5] Center for Nonlinear Science, Texas Woman's University, PO Box 425498, Denton, TX 76204, United States
[6] Physics Department, Duke University, PO Box 90291, Durham, NC 27708
[7] US Army Research Office, Mathematics Division, Research Triangle Park, NC 27709, United States
关键词
Computational complexity - Correlation methods - Economic and social effects - Estimation - Population statistics - Probability density function - Probability distributions - Process control - Time series analysis;
D O I
10.1016/j.physa.2003.12.033
中图分类号
学科分类号
摘要
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 shows 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 [The earlier companion paper], to safely remove all the biases and to derive the genuine scaling of the teen birth phenomenon. © 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:623 / 637
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