Submit an Article
Become a reviewer
Vol 208
Pages:
197-202
Download volume:
RUS
Article

The application of the least squares method for approximation of periodic processes at forecasts construction

Authors:
V. A. Chiruhin
About authors
  • Ph.D. associate professor National Mineral Resources University (Mining University)
Date submitted:
2013-08-27
Date accepted:
2013-10-19
Date published:
2014-07-15

Abstract

In the article the methods of processing of statistical data about periodic process by the least squares method with usage of Bessel functions and Fourie numbers are analyzed. The simple method for approximation with a choice of the fluctuation period, proceeding from a minimum of the estimated error is offered.

Keywords:
least squares method approximation season variation estimated error
Go to volume 208

References

  1. Venetskij I.G., Venetskaja V.I. Main mathematics-statistical concepts and formulas of the economic analysis: The directory. Moscow, 1979. 101 p.
  2. Prosvetov G.I. Storekeeping's Gleams: problems and decisions. Moscow, 2008. 192 p.
  3. The Collection of problems in probability theory, mathematical statistics and the theory casual functions / Ed. А.А. Sveshnikov. Moscow, 1965. 622 p.

Similar articles

Organizational and legal issues disposal and recycling of solid household waste
2014 Iu. A. Veselova
Russia in the world markets minerals: reserves, production and export
2014 N. V. Pashkevich, L. I. Iseeva, A. A. Fedchenko
Organization of project offices
2014 V. Ia. Pashkin, N. L. Pashkina
Enhancement of efficiency of underground coal mining development of complexity mining-and-geological parameters
2014 A. A. Sidorenko, S. A. Sidorenko
Prospects of developing coal energy supply of thermal power station on competitive base in Russia
2014 Yu. N. Vasilyev
Analysis model of thermal modes of controller groups of automatic control system alloy electrolyze
2014 I. V. Ivanova, P. V. Pashkin