STATISTICS INDICATORS OF LABOR RESOURCES THE FOCUS OF MULTIVARIATE STATISTICAL METHODS


Cite item

Abstract

In work the analysis of statistical data structure of the economically employed population of the Samara region by means of multivariate statistical methods.

About the authors

A. Yu. Trusova

Department of Mathematics and Business Informatics, Samara National Research University, 34, Moskovskoye shosse, Samara, 443086, Russian Federation.

Author for correspondence.
Email: morenov.sv@ssau.ru

References

  1. Retrieved from:http://samarastat.gks.ru/wps/wcm/connect/rosstat_ts/samarastat/ru/statistics/employment [in Russian].
  2. Kremer N.Sh., Putko B.A. Ekonometrika [Econometrics]. M.: Yuniti-Dana, 2002, 311 p. [in Russian].
  3. Mnogomernyy statisticheskiy analiz v ekonomike, L.A. Soshnikova [i dr.] [Multidimensional statistical analysis in economics, L.A. Soshnikova [et al.]]. M.: Yuniti-Dana, 1999, 598 p. [in Russian].
  4. Nasledov A.D. SPSS 15: professional'nyy statisticheskiy analiz dannykh [SPSS 15: professional statistical analysis of data]. SPb.: Piter, 2008 [in Russian].
  5. Trusova A.Yu, Il'ina A.I. Modelirovaniye i analiz dinamicheskikh dannykh [Modeling and analysis of dynamic data]. In: Vestnik Samarskogo gosudarstvennogo universiteta [Vestnik of Samara State University], 2013, no. 7 (108), pp. 127–133 [in Russian].
  6. Trusova A.Yu., Cherepanova M.V. Klasternyy analiz v sotsial'nykh issledovaniyakh [Cluster analysis in social research]. In: Trudy X mezhdunarodnoy FAMET, 2010 konferentsii, pod red. O.Yu. Vorob'yeva [Proceedings of the X International FAMET, 2010 conference, ed. O.Yu. Vorobuyev]. Krasnoyarsk: KGTEI, SFU, 2011, pp. 261–264 [in Russian].

Copyright (c) 2018 А. Ю. Трусова

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