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

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Abstract

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.

General Information

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

Journal rubric: Data Analysis

Article type: scientific article

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

For citation: 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.)

References

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

Information About the Authors

Gleb B. Sologub, PhD in Physics and Matematics, Associate Professor of the Department of Mathematical Cybernetics of 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

Vyacheslav A. Pukhov, 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

Leonid S. Tsyplenkov, 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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