Approximation of the exponential type time series in terms of the usa population growth rate

Authors

  • V. M. Kuzmyn National Aviation University
  • M. Yu. Zaliskyi National Aviation University
  • O. V. Kozhokhina National Aviation University

DOI:

https://doi.org/10.18372/2073-4751.3.11322

Keywords:

exponential polygonal (linear two-segment) regression, approximation, sum of squared deviations minimization, cumulative curve of remainders

Abstract

The article represents a new approach to the exponential polygonal mathematical model formulationat the time series approximation in terms of the USA population growth rate

Author Biographies

V. M. Kuzmyn, National Aviation University

PhD

M. Yu. Zaliskyi, National Aviation University

PhD

O. V. Kozhokhina, National Aviation University

PhD

References

McClave, J.T. Statistics / J.T. McClave, F.H. Dietrich. – San Francisco: Dellen Publishing Company, 1991. – 624 p.

Chetyrkin E.M. Statistical methods of prediction. – М.: Statistics, 1977. – 200 p. (in Russian)

Blanchard P., Devaney R.L., Hall G. R. Differential Equation. Pacific Grove CA, 1997, 162 p.

Kuzmin V.N. New Statistical Method for Identification of Nonlinearity of Empirical Data // Computer data analysis and modeling. Proceedings of the Fifth International Conference. June, 8 – 12, 1998, Minsk, Volume 1: A-M, PP. 159 – 164.

Kuzmin V.N., Solomentsev O.V., Zaliskyi M.Yu. The methodical approach to testing the linearity of statistical data // Problems of Informatization and Control. – 2015. – № 4 (52). – PP. 63 – 67. (in Ukrainian)

Downloads

How to Cite

Kuzmyn, V. M., Zaliskyi, M. Y., & Kozhokhina, O. V. (2016). Approximation of the exponential type time series in terms of the usa population growth rate. Problems of Informatization and Control, 3(55), 52–55. https://doi.org/10.18372/2073-4751.3.11322

Issue

Vol. 3 No. 55 (2016)

Section

Статті

License

The scientific journal adheres to the principles of Open Access and provides free, immediate, and permanent access to all published materials without financial, technical, or legal barriers for readers.

All articles are published in Open Access under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Copyright

Authors who publish their works in the journal:

  • retain the copyright to their publications;

  • grant the journal the right of first publication of the article;

  • agree to the distribution of their materials under the CC BY 4.0 license;

  • have the right to reuse, archive, and distribute their works (including in institutional and subject repositories), provided that proper reference is made to the original publication in the journal.