PhD, Associate Professor A.V. Litvin¹
PhD, Associate Professor A.N. Lashkarev^1
1Udmurt State University, Izhevsk

Objective of the study was to develop a regional basic sports selection/ qualification method using modern economic mathematics to match the findings with the actual basic sports reported by the regional sports authorities, with the Udmurt Republic taken for the case study.
Methods and structure of the study. It was in 2013 that the national Ministry of Sports issued a basic sports qualification procedure for the constituents of the Russian Federation effective for four-year periods.
We mined the input data for our basic sports qualification method in the annual governmental statistical reports 1-FK of 2014-2017 and 2018-2020 submitted by the Udmurt Republic regional executive offices to the Ministry of Sports. The yearly data arrays in these reports are provided in matrices with 73 lines that list the local sports and 18 columns with 14 statistical indices plus 3 expert ones. The sport discipline priority for basic sports qualification is specified in a binary column as 0 for non-basic and 1 for basic sports. We applied the commonly used data mining technique to find the potential correlations and logics in the input data arrays.
Results and conclusion. The study demonstrated benefits of the new regional basic sports qualification method that takes into account the actual progress indices of every sport discipline for the prior periods.

Keywords: basic sports, region, statistical report, factor analysis, linear model, weight matrix, forecast.

References

1. Ayvazyan S.A., Mkhitaryan B.C. Prikladnaya statistika i osnovy ekonometriki [Applied statistics and basics of econometrics]. Moscow: UNITY publ., 1998.
2. Zaryadov I.S. Vvedenie v statisticheskiy paket R: tipy peremennykh, struktury dannykh, chtenie i zapis informatsii, grafika [Introduction to R statistical package: variable types, data structures, reading and writing information, graphics]. Moscow: Peoples' Friendship University of Russia publ., 2010. 207 p.
3. Litvin A.V., Shulikovskaya V.V., Arkalov D.P. «Metodika raspredeleniya byudzhetnogo finansirovaniya po vidam sporta v regione: na primere Udmurtskoy respubliki» [Methodology for distribution of budgetary funding by sports in the region: case study of Udmurt Republic] Finansovaya ekonomika. 2018. No. 5. pp. 74-79.
4. vnesenii izmeneniy v federalnyiy zakon «O fizicheskoy kulture i sporte v Rossiyskoy Federatsii, 25.12. 2012, # 257-FZ [On amendments to the federal law “On physical education and sports in the Russian Federation, 25.12. 2012, No. 257-FL].
5. Prikaz Ministerstva sporta Rossiyskoy federatsii ot 25.04.2018 # 592 «Ob utverzhdenii perechnya bazovykh vidov sporta na 2018-2022.» [Order of the Ministry of Sports of the Russian Federation of 25.04.2018 No. 592 "On approval of the list of basic sports for 2018-2022"].
6. Prikaz Rosstata ot 23.10.2014 # 626 «Ob utverzhdenii statisticheskogo instrumentariya dlya organizatsii Minsportom Rossii federalnogo statisticheskogo nablyudeniya za deyatelnostyu uchrezhdeniy po fizicheskoy kulture i sportu» [Order of the Federal State Statistics Service of 23.10.2014 No. 626 "On the approval of statistical tools for organization by the Ministry of Sports of Russia of federal statistical monitoring of performance of physical education and sports institutions"].
7. Soshnikova L.A., Tamashevich V.N., Uebe G., Shefer M. Mnogomerny statisticheskiy analiz v ekonomike [Multivariate statistical analysis in economics]. Academic study guide. Moscow: UNITY-DANA publ., 1999. 598 p.