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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Nigmatullin, R., Machado, J. & Menezes, R. (2013). Self-similarity principle: the reduced description of randomness. Central European Journal of Physics. 11 (6), 724-739
Exportar Referência (IEEE) 
R. Nigmatullin et al.,  "Self-similarity principle: the reduced description of randomness", in Central European Journal of Physics, vol. 11, no. 6, pp. 724-739, 2013
Exportar BibTeX 
@article{nigmatullin2013_1729005391017,
	author = "Nigmatullin, R. and Machado, J. and Menezes, R.",
	title = "Self-similarity principle: the reduced description of randomness",
	journal = "Central European Journal of Physics",
	year = "2013",
	volume = "11",
	number = "6",
	doi = "10.2478/s11534-013-0181-9",
	pages = "724-739",
	url = "https://www.degruyter.com/view/j/phys.2017.15.issue-1/issue-files/phys.2017.15.issue-1.xml"
}
Exportar RIS 
TY  - JOUR
TI  - Self-similarity principle: the reduced description of randomness
T2  - Central European Journal of Physics
VL  - 11
IS  - 6
AU  - Nigmatullin, R.
AU  - Machado, J.
AU  - Menezes, R.
PY  - 2013
SP  - 724-739
SN  - 1895-1082
DO  - 10.2478/s11534-013-0181-9
UR  - https://www.degruyter.com/view/j/phys.2017.15.issue-1/issue-files/phys.2017.15.issue-1.xml
AB  - A new general fitting method based on the Self-Similar (SS) organization of random sequences is presented. The proposed analytical function helps to fit the response of many complex systems when their recorded data form a self-similar curve. The verified SS principle opens new possibilities for the fitting of economical, meteorological and other complex data when the mathematical model is absent but the reduced description in terms of some universal set of the fitting parameters is necessary. This fitting function is verified on economical (price of a commodity versus time) and weather (the Earth’s mean temperature surface data versus time) and for these nontrivial cases it becomes possible to receive a very good fit of initial data set. The general conditions of application of this fitting method describing the response of many complex systems and the forecast possibilities are discussed.
ER  -