DOI: https://doi.org/10.32515/2663-1636.2023.10(43).44-51
Statistical Problems and Imperatives in Wartime: a Critical Analysis
About the Authors
Oleksandr Gai, Аssociate Professor, PhD in Economics (Candidate of Economic Sciences), Associate Professor of the Department of Auditing, Accounting and Taxation, Central Ukrainian National Technical University, Kropyvnitskiy, Ukraine, ORCID: https://orcid.org/0000-0002-5236-6931, e-mail: oleksandr.gai.kntu@gmail.com
Olena Magopets, Associate Professor, PhD in Economics (Candidate of Economic Sciences), Head of the Department of Auditing, Accounting and Taxation, Central Ukrainian National Technical University, Kropyvnytskyy, Ukraine, ORCID: http://orcid.org/0000-0002-2124-4026, e-mail: magserg@ukr.ne0074
Abstract
The article highlights the modern perspectives of statistics as a science and its role in various fields of human activity. The article is based on the analysis of current trends in the development of statistics, as well as its significance in the era of the digital revolution and the information age. The prospects of statistics as a science are incredibly promising and diverse, covering different fields and industries. Through a broad analysis of current trends and achievements, this article sheds light on the development of statistics and its potential impact on shaping the future.
As a result of the study, the main prospects for the development of statistics as a science and a field of practical activity were determined, and the key aspects emphasizing its importance were formulated. It has been proven that statistics is a dynamic, evolving discipline with enormous potential for innovation, discovery, and impact on society. The critical analysis of statistical problems and urgent tasks that arise in wartime has been provided. The role of statistics in those military actions is considered, and the application of statistical methods to strategic and tactical decision-making is analyzed. In times of war, statistics face numerous challenges that can complicate the collection, analysis, and interpretation of data.
During conflict, the role of statistics becomes paramount in informing decision-making, resource allocation, and assessing the impact of military action. However, applying statistical methods in wartime poses unique challenges, from collecting data in a hostile environment to ensuring the accuracy and reliability of analysis in the face of uncertainty and misinformation. This article examines the multifaceted challenges that arise when using statistics in wartime scenarios, highlighting the implications for military strategy, humanitarian efforts, and postwar reconstruction. By addressing these challenges, statisticians can make a significant contribution to improving the effectiveness and ethical conduct of operations in conflict zones.
The prospects for further research in the study of indirect methods and the use of alternative sources of data collection, for the full realization of the functions of statistics in wartime conditions is substantiated.
Keywords
statistics, war, data collection, decision-making, uncertainty, disinformation
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References
1. «On the protection of the interests of subjects submitting reports and other documents during martial law or a state of war». Law of Ukraine № 2115-IX 03.03.2022. Retrieved from: https://zakon.rada.gov.ua/laws/show/2115-20#Text
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6. Andrew P. King, & Robert J. Eckersley (2019). Statistics for Biomedical Engineers and Scientists. How to Visualize and Analyze Data. Elsevier Ltd. Retrieved from https://www.sciencedirect.com/book/9780081029398/statistics-for-biomedical-engineers-and-scientists
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8. Hassani, H., Beneki, C., Sirimal Silva, E. Vandeput, N. & Dag Оivind Madsen (2021). The science of statistics versus data science: What is the future? Technological Forecasting and Social Change, Vol. 173. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S0040162521005448
9. Hiram Johnson in U. S. Senate, 1918, quoted in The Quote Verifier: Who Said What, Where, and When, by Ralph Keyes, Macmillan, p. 228, 2006, ISBN 0-312-34004-4
10. William S. Cleveland (2007). Data Science: an Action Plan for Expanding the Technical Areas of the Field of Statistics. International Statistical Review, Volume 69, Issue1, 21-26 Retrieved from https://onlinelibrary.wiley.com/doi/10.1111/j.1751-5823.2001.tb00477.x
11. Xuming He, David Madigan, Bin Yu, & Jon Wellner (2019). Statistics at a Crossroads: Who is for the Challenge? NSF Workshop report. National Science Foundation. Retrieved from https://www.nsf.gov/mps/dms/documents/Statistics_at_a_Crossroads_Workshop_Report_2019.pdf
12. Xuming, He, & Xihong, Lin (2020). Challenges and Opportunities in Statistics and Data Science: Ten Research Areas. Harvard Data Science Review, issue 2.3. Retrieved from https://hdsr.mitpress.mit.edu/pub/da99kl2q/release/3
Citations
1. «Про захист інтересів суб'єктів подання звітності та інших документів у період воєнного стану або стану війни». Закон України № 2115-IX від 3 березня 2022 року. Режим доступу: https://zakon.rada.gov.ua/laws/show/2115-20#Text
2. «Про офіційну статистику» Закон України від 16.08.2022 р. № 2524-IX. Режим доступу: https://zakon.rada.gov.ua/laws/show/2524-20#Text
3. Програма розвитку офіційної статистики до 2028 року. Проєкт. Кабінет Міністрів України. Режим доступу: https://ukrstat.gov.ua/norm_doc/proekt/proekt_05.06.23/proekt.pdf
4. Осауленко О.Г., Горобець О.О. Проблеми та перспективи імплементації великих даних в офіційну статистику України в умовах воєнного стану. Сучасна статистика: проблеми та перспективи розвитку. 2022, грудень. С. 26-31.
5. Паращій О. Економічна статистика в умовах війни скотилася у докомп’ютерну еру. Forbes Ukraine, 10.04.2023. Retrieved from https://forbes.ua/money/dokompyuterna-era-danikh-yak-pratsyue-ekonomichna-statistika-pid-chas-viyni-poyasnyue-ekonomist-oleksandr-parashchiy-10042023-12941
6. Andrew P. King, & Robert J. Eckersley (2019). Statistics for Biomedical Engineers and Scientists. How to Visualize and Analyze Data. Elsevier Ltd. Retrieved from https://www.sciencedirect.com/book/9780081029398/statistics-for-biomedical-engineers-and-scientists
7. Bruce G. Lindsay, Jon Kettenring & David O. Siegmund (2004). A Report on the Future of Statistics. Statistical Science, Vol. 19, No. 3, 387–413. Retrieved from https://projecteuclid.org/journals/statistical-science/volume-19/issue-3/A-Report-on-the-Future-of-Statistics/10.1214/088342304000000404.full
8. Hassani, H., Beneki, C., Sirimal Silva, E. Vandeput, N. & Dag Оivind Madsen (2021). The science of statistics versus data science: What is the future? Technological Forecasting and Social Change, Vol. 173. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S0040162521005448
9. Hiram Johnson in U. S. Senate, 1918, quoted in The Quote Verifier: Who Said What, Where, and When, by Ralph Keyes, Macmillan, p. 228, 2006, ISBN 0-312-34004-4
10. William S. Cleveland (2007). Data Science: an Action Plan for Expanding the Technical Areas of the Field of Statistics. International Statistical Review, Volume 69, Issue1, 21-26 Retrieved from https://onlinelibrary.wiley.com/doi/10.1111/j.1751-5823.2001.tb00477.x
11. Xuming He, David Madigan, Bin Yu, & Jon Wellner (2019). Statistics at a Crossroads: Who is for the Challenge? NSF Workshop report. National Science Foundation. Retrieved from https://www.nsf.gov/mps/dms/documents/Statistics_at_a_Crossroads_Workshop_Report_2019.pdf
12. Xuming, He, & Xihong, Lin (2020). Challenges and Opportunities in Statistics and Data Science: Ten Research Areas. Harvard Data Science Review, issue 2.3. Retrieved from https://hdsr.mitpress.mit.edu/pub/da99kl2q/release/3
Copyright (c) 2023 Oleksandr Gai, Olena Magopets
Statistical Problems and Imperatives in Wartime: a Critical Analysis
About the Authors
Oleksandr Gai, Аssociate Professor, PhD in Economics (Candidate of Economic Sciences), Associate Professor of the Department of Auditing, Accounting and Taxation, Central Ukrainian National Technical University, Kropyvnitskiy, Ukraine, ORCID: https://orcid.org/0000-0002-5236-6931, e-mail: oleksandr.gai.kntu@gmail.com
Olena Magopets, Associate Professor, PhD in Economics (Candidate of Economic Sciences), Head of the Department of Auditing, Accounting and Taxation, Central Ukrainian National Technical University, Kropyvnytskyy, Ukraine, ORCID: http://orcid.org/0000-0002-2124-4026, e-mail: magserg@ukr.ne0074
Abstract
Keywords
Full Text:
PDFReferences
1. «On the protection of the interests of subjects submitting reports and other documents during martial law or a state of war». Law of Ukraine № 2115-IX 03.03.2022. Retrieved from: https://zakon.rada.gov.ua/laws/show/2115-20#Text
2. «About Official Statistics» Law of Ukraine № 2524-IX 16.08.2022. Retrieved from https://zakon.rada.gov.ua/laws/show/2524-20#Text
3. Program for the development of official statistics until 2028. Project. Cabinet of Ministers of Ukraine. Retrieved from: https://ukrstat.gov.ua/norm_doc/proekt/proekt_05.06.23/proekt.pdf
4. Osaulenko, O.H., & Horobets, O.O. (2022, December). Problemy ta perspektyvy implementatsii velykykh danykh v ofitsiinu statystyku Ukrainy v umovakh voiennoho stanu [Problems and prospects of implementation of big data in the official statistics of Ukraine in the conditions of martial law]. Suchasna statystyka: problemy ta perspektyvy rozvytku - Modern statistics: problems and prospects for development. pp. 26-31.
5. Parashchii, O. (2023, April, 10) Ekonomichna statystyka v umovakh viiny skotylasia u dokompiuternu eru [Ekonomichna statystyka v umovakh viiny skotylasia u dokompiuternu eru]. Forbes Ukraine, Retrieved from https://forbes.ua/money/dokompyuterna-era-danikh-yak-pratsyue-ekonomichna-statistika-pid-chas-viyni-poyasnyue-ekonomist-oleksandr-parashchiy-10042023-12941
6. Andrew P. King, & Robert J. Eckersley (2019). Statistics for Biomedical Engineers and Scientists. How to Visualize and Analyze Data. Elsevier Ltd. Retrieved from https://www.sciencedirect.com/book/9780081029398/statistics-for-biomedical-engineers-and-scientists
7. Bruce G. Lindsay, Jon Kettenring & David O. Siegmund (2004). A Report on the Future of Statistics. Statistical Science, Vol. 19, No. 3, 387–413. Retrieved from https://projecteuclid.org/journals/statistical-science/volume-19/issue-3/A-Report-on-the-Future-of-Statistics/10.1214/088342304000000404.full
8. Hassani, H., Beneki, C., Sirimal Silva, E. Vandeput, N. & Dag Оivind Madsen (2021). The science of statistics versus data science: What is the future? Technological Forecasting and Social Change, Vol. 173. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S0040162521005448
9. Hiram Johnson in U. S. Senate, 1918, quoted in The Quote Verifier: Who Said What, Where, and When, by Ralph Keyes, Macmillan, p. 228, 2006, ISBN 0-312-34004-4
10. William S. Cleveland (2007). Data Science: an Action Plan for Expanding the Technical Areas of the Field of Statistics. International Statistical Review, Volume 69, Issue1, 21-26 Retrieved from https://onlinelibrary.wiley.com/doi/10.1111/j.1751-5823.2001.tb00477.x
11. Xuming He, David Madigan, Bin Yu, & Jon Wellner (2019). Statistics at a Crossroads: Who is for the Challenge? NSF Workshop report. National Science Foundation. Retrieved from https://www.nsf.gov/mps/dms/documents/Statistics_at_a_Crossroads_Workshop_Report_2019.pdf
12. Xuming, He, & Xihong, Lin (2020). Challenges and Opportunities in Statistics and Data Science: Ten Research Areas. Harvard Data Science Review, issue 2.3. Retrieved from https://hdsr.mitpress.mit.edu/pub/da99kl2q/release/3
Citations
1. «Про захист інтересів суб'єктів подання звітності та інших документів у період воєнного стану або стану війни». Закон України № 2115-IX від 3 березня 2022 року. Режим доступу: https://zakon.rada.gov.ua/laws/show/2115-20#Text
2. «Про офіційну статистику» Закон України від 16.08.2022 р. № 2524-IX. Режим доступу: https://zakon.rada.gov.ua/laws/show/2524-20#Text
3. Програма розвитку офіційної статистики до 2028 року. Проєкт. Кабінет Міністрів України. Режим доступу: https://ukrstat.gov.ua/norm_doc/proekt/proekt_05.06.23/proekt.pdf
4. Осауленко О.Г., Горобець О.О. Проблеми та перспективи імплементації великих даних в офіційну статистику України в умовах воєнного стану. Сучасна статистика: проблеми та перспективи розвитку. 2022, грудень. С. 26-31.
5. Паращій О. Економічна статистика в умовах війни скотилася у докомп’ютерну еру. Forbes Ukraine, 10.04.2023. Retrieved from https://forbes.ua/money/dokompyuterna-era-danikh-yak-pratsyue-ekonomichna-statistika-pid-chas-viyni-poyasnyue-ekonomist-oleksandr-parashchiy-10042023-12941
6. Andrew P. King, & Robert J. Eckersley (2019). Statistics for Biomedical Engineers and Scientists. How to Visualize and Analyze Data. Elsevier Ltd. Retrieved from https://www.sciencedirect.com/book/9780081029398/statistics-for-biomedical-engineers-and-scientists
7. Bruce G. Lindsay, Jon Kettenring & David O. Siegmund (2004). A Report on the Future of Statistics. Statistical Science, Vol. 19, No. 3, 387–413. Retrieved from https://projecteuclid.org/journals/statistical-science/volume-19/issue-3/A-Report-on-the-Future-of-Statistics/10.1214/088342304000000404.full
8. Hassani, H., Beneki, C., Sirimal Silva, E. Vandeput, N. & Dag Оivind Madsen (2021). The science of statistics versus data science: What is the future? Technological Forecasting and Social Change, Vol. 173. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S0040162521005448
9. Hiram Johnson in U. S. Senate, 1918, quoted in The Quote Verifier: Who Said What, Where, and When, by Ralph Keyes, Macmillan, p. 228, 2006, ISBN 0-312-34004-4
10. William S. Cleveland (2007). Data Science: an Action Plan for Expanding the Technical Areas of the Field of Statistics. International Statistical Review, Volume 69, Issue1, 21-26 Retrieved from https://onlinelibrary.wiley.com/doi/10.1111/j.1751-5823.2001.tb00477.x
11. Xuming He, David Madigan, Bin Yu, & Jon Wellner (2019). Statistics at a Crossroads: Who is for the Challenge? NSF Workshop report. National Science Foundation. Retrieved from https://www.nsf.gov/mps/dms/documents/Statistics_at_a_Crossroads_Workshop_Report_2019.pdf
12. Xuming, He, & Xihong, Lin (2020). Challenges and Opportunities in Statistics and Data Science: Ten Research Areas. Harvard Data Science Review, issue 2.3. Retrieved from https://hdsr.mitpress.mit.edu/pub/da99kl2q/release/3