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Method of Identification of Wave Regularities According to Statistical Data (Of Dynamics of a Rate of Inflation of US Dollar)

Received: 20 July 2015     Accepted: 10 August 2015     Published: 11 August 2015
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Abstract

The method of identification is shown on the example of dynamics of a rate of inflation of US dollar on months from January 2000 to May 2015. The equations of a trend and oscillatory indignations on the basis of steady laws on the generalized wave function in the form of an asymmetric wavelet signal with variables of amplitude and the period of fluctuation are received. In total are revealed 14 mega, macro and meso fluctuations of economy of the USA on a dollar rate of inflation. On the remains

Published in Advances in Sciences and Humanities (Volume 1, Issue 2)
DOI 10.11648/j.ash.20150102.12
Page(s) 45-51
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Wavelet, Identification, Us Dollar, Dynamics of Inflation, Regularity

References
[1] P.M. Mazurkin. Wavelet analysis of crisis dynamics of ruble exchange rate // Interdisciplinary researches in the field of mathematical modeling and informatics. Materials of the 3rd scientific and practical Internet conference Ulyanovsk: SIMJET. 2014. P. 260-268.
[2] P.M. Mazurkin. Regularities of a sustainable development: Scientific publication / P.M. Mazurkin. – Yoshkar-Ola: MarSTU. 2002. – 302 pages.
[3] P.M. Mazurkin. Identification of statistical steady regularities // Science and world: international scientific magazine. 2013. № 3(3). P. 28-33.
[4] P.M. Mazurkin. Crisis dynamics and forecast of dollar exchange rate. // International magazine of experimental education. №5. 2015. P. 118-120.
[5] P.M. Mazurkin. The decision 23-oh Gilbert's problems. Interdisciplinary researches in the field of mathematical modeling and informatics. Materials of the 3rd scientific and practical Internet conference. Ulyanovsk: SIMJET. 2014. P. 269-277.
[6] P.M. Mazurkin. Statistical econometrics: Tutorial. Yoshkar-Ola: MarSTU. 2006. 376 p.
[7] P.M. Mazurkin, O.V. Poryadina. Econometric modeling: practical work. Yoshkar-Ola: MarSTU. 2009. 204 p.
[8] P.M. Mazurkin. A.S. Filonov. Mathematical modeling. Identification of one-factorial statistical regularities: manual. Yoshkar-Ola: MarSTU. 2006. 292 p.
[9] P.M. Mazurkin. Method of identification // 14th International multidisciplinary scientific geoconferenct & SGEM2014. GeoConference jn NANO. BIO AND GREEN – TECHNOLOGIES FOR A SUSTAINABLE FUTURE. Conference proceedincs. Volume 1. Section Advances in Biotechnology. 17-26 June 2014. Albena. Bulgaria. P. 427-434.
[10] P.M. Mazurkin. Statistical modeling of entire prime numbers / International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869. Volume-2. Issue-8. August 2014. Р.148-158.
[11] Inflation of dollar in 2000-2013, comparison with the Russian currency. http://kopim-vmeste.ru/inflyatsiya/v-ssha.html (Date of the address 04.07.2015).
[12] P.M. Mazurkin. Invariants of the Hilbert Transform for 23-Hilbert Problem, Advances in Sciences and Humanities. Vol. 1, No. 1, 2015, pp. 1-12. doi: 10.11648/j.ash.20150101.11
[13] P.M. Mazurkin. Riemann’s Hypothesis and Critical Line of Prime Numbers, Advances in Sciences and Humanities. Vol. 1, No. 1, 2015, pp. 13-29. doi: 10.11648/j.ash.20150101.12.
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  • APA Style

    Mazurkin Peter Matveevich. (2015). Method of Identification of Wave Regularities According to Statistical Data (Of Dynamics of a Rate of Inflation of US Dollar). Advances in Sciences and Humanities, 1(2), 45-51. https://doi.org/10.11648/j.ash.20150102.12

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    ACS Style

    Mazurkin Peter Matveevich. Method of Identification of Wave Regularities According to Statistical Data (Of Dynamics of a Rate of Inflation of US Dollar). Adv. Sci. Humanit. 2015, 1(2), 45-51. doi: 10.11648/j.ash.20150102.12

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    AMA Style

    Mazurkin Peter Matveevich. Method of Identification of Wave Regularities According to Statistical Data (Of Dynamics of a Rate of Inflation of US Dollar). Adv Sci Humanit. 2015;1(2):45-51. doi: 10.11648/j.ash.20150102.12

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  • @article{10.11648/j.ash.20150102.12,
      author = {Mazurkin Peter Matveevich},
      title = {Method of Identification of Wave Regularities According to Statistical Data (Of Dynamics of a Rate of Inflation of US Dollar)},
      journal = {Advances in Sciences and Humanities},
      volume = {1},
      number = {2},
      pages = {45-51},
      doi = {10.11648/j.ash.20150102.12},
      url = {https://doi.org/10.11648/j.ash.20150102.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ash.20150102.12},
      abstract = {The method of identification is shown on the example of dynamics of a rate of inflation of US dollar on months from January 2000 to May 2015. The equations of a trend and oscillatory indignations on the basis of steady laws on the generalized wave function in the form of an asymmetric wavelet signal with variables of amplitude and the period of fluctuation are received. In total are revealed 14 mega, macro and meso fluctuations of economy of the USA on a dollar rate of inflation. On the remains},
     year = {2015}
    }
    

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    AB  - The method of identification is shown on the example of dynamics of a rate of inflation of US dollar on months from January 2000 to May 2015. The equations of a trend and oscillatory indignations on the basis of steady laws on the generalized wave function in the form of an asymmetric wavelet signal with variables of amplitude and the period of fluctuation are received. In total are revealed 14 mega, macro and meso fluctuations of economy of the USA on a dollar rate of inflation. On the remains
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Author Information
  • Department of Environmental Engineering, Volga State University of Technology, Yoshkar-Ola, Republic of Mari El, Russian Federation

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