Tsyplenkov L.S. Predicting the Number of Teachers Needed at Online-School

Sologub G.B.; Pukhov V.A.; Tsyplenkov L.S.

doi:10.17759/mda.2020100203

Previous issue (2020. Vol. 10, no. 2)

Modelling and Data Analysis

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 2219-3758

ISSN (online): 2311-9454

DOI: https://doi.org/10.17759/mda

License: CC BY-NC 4.0

Started in 2011

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Modelling and Data Analysis
2020. Vol. 10, no. 2, 39–48
doi:10.17759/mda.2020100203
ISSN: 2219-3758 / 2311-9454 (online)

Tsyplenkov L.S. Predicting the Number of Teachers Needed at Online-School ²⁰

Sologub G.B.
PhD in Physics and Matematics, Associate Professor of the Department of Mathematical Cybernetics, Institute of Information Technologies and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russia
ORCID: https://orcid.org/0000-0002-5657-4826
e-mail: glebsologub@ya.ru

Pukhov V.A.
Undergraduate Student of the Institute of Information Technology and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russia
ORCID: https://orcid.org/0000-0002-8078-6386
e-mail: csguard26@gmail.com

Tsyplenkov L.S.
Undergraduate Student of the Institute of Information Technology and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russia
ORCID: https://orcid.org/0000-0001-6010-1223
e-mail: leonidtsyplenkov@gmail.com

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The article describes an approach to forecasting the number of teachers to hire by an online English language school, based on an analysis of historical data on the lessons using linear regression and triple exponential smoothing models.

Keywords: time series, time series analysis, time series prediction, online education

Column: Data Analysis

DOI: https://doi.org/10.17759/mda.2020100203

For Reference

Sologub G.B., Pukhov V.A., Tsyplenkov L.S. Tsyplenkov L.S. Predicting the Number of Teachers Needed at Online-School. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2020. Vol. 10, no. 2, pp. 39–48. doi:10.17759/mda.2020100203. (In Russ., аbstr. in Engl.)

Winters P.R. Forecasting sales by exponentially weighted moving averages // Management Science, 1960. Vol. 6. № 3.
NIST/SEMATECH e-Handbook of Statistical Methods, http://www.itl.nist.gov/div898/handbook/, 2012
Lukashin Yu.P. Adaptivniye metody kratkosrochnogo prognozirovaniya vremennykh ryadov = Adaptive methods for short-term time series forecasting. Finansy i statistika = Finance and Statistics, 2003.

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