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

The impact of Russia's accession to the World Trade Organization on the exploration industry
2014 A. A. Fedchenko
To bring the normative base of the Russia in compliance with the World Trade Organization requirements
2014 N. M. Lobov
Method of identifying models of electronic equipment failure of automation control of dynamic systems
2014 A. A. Klavdiev, O. V. Afanasyeva
Innovative aspects of mining companies economic development
2014 V. A. Knysh, D. S. Nadymov
Role of the state in innovative development of oil and gas complex (on the example of Russia and Norway)
2014 E. G. Katysheva
Effectiveness complex approach for development group metal ore fields
2014 V. R. Kabirov, E. I. Reishakhrit