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

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

OpenAlex citations: 0

OpenAlex trends: Economic and Technological Systems Analysis, Forecasting Techniques and Applications, Advanced Research in Systems and Signal Processing

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Number of citations: 0

Topics

Economic and Technological Systems Analysis

This cluster of papers covers a wide range of topics related to digital transformation, innovation management, and the integration of information technologies in various domains. It includes research on quality management, cyber-physical systems, big data, sustainability, neural networks, environmental safety, and project management.

Number of works: 36814  |  Total number of citations: 64075

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Forecasting Techniques and Applications

This cluster of papers focuses on advances in time series forecasting methods, including topics such as exponential smoothing, machine learning techniques, expert judgment, inventory management, demand forecasting, neural networks, and forecast combination.

Number of works: 48174  |  Total number of citations: 633732

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Advanced Research in Systems and Signal Processing

This cluster of papers focuses on the integration of cyber, physical, and social systems, with an emphasis on decision making, urban computing, autodyne sensors, machine learning, data mining, transportation systems, information management, parallel computing, and infrastructure development.

Number of works: 31317  |  Total number of citations: 164598

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Work details in OpenAlex

Article type: scientific article

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

Published

For citation: Sologub, G.B., Pukhov, V.A., Tsyplenkov, L.S. (2020). Tsyplenkov L.S. Predicting the Number of Teachers Needed at Online-School. Modelling and Data Analysis, 10(2), 39–48. (In Russ.). https://doi.org/10.17759/mda.2020100203

© Sologub G.B., Pukhov V.A., Tsyplenkov L.S., 2020

License: CC BY-NC 4.0

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, Candidate of Science (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, Russian Federation, 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, Russian Federation, 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, Russian Federation, ORCID: https://orcid.org/0000-0001-6010-1223, e-mail: leonidtsyplenkov@gmail.com

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