Zhanna N. Zenkova

Candidate of Science
University
Tomsk State University
Level of English proficiency
B2
Educational program and field of the educational program for which the applicant will be accepted
1.01.04 Applied Mathematics
1.01.05 Statistics and Probability
2.3.1. Systems Analysis, Control and Data Processing
List of the topics offered for the prospective scientific research
General research direction: Statistical modeling based on complete and censored (including interval) data using additional information; application of the models and their modifications in economics, including in marketing, insurance and actuarial calculations and in logistics
Supervisor’s main publications
33 publications including

1) Zenkova Z., Musoni W. The economic order quantity taking into account additional information about the known quantile of the cumulative distribution function of the product’s sales volume. Business Informatics, 2020. No. 3 Vol.14. P. 24–34 https://bijournal.hse.ru/en/2020--3%20Vol.14/402909990.html DOI: 10.17323/2587-814X.2020.3.24.34

2) Kabanova T., Malakhova T., Zenkova Z. ABC-XYZ inventory analysis accounting for change points. International Journal of Logistics Systems and Management (IJLSM), Vol. 41, No. 1/2, 2022. pp. 59-76 DOI: 10.1504/IJLSM.2022.120981

3) Zenkova Z., Tarima S., Musoni W., Dmitriev Y. Statistical Estimation with a Known Quantile and Its Application in a Modified ABC-XYZ Analysis. In: Pilz, J., Melas, V.B., Bathke, A. (eds) Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications. SimStat 2019. Contributions to Statistics. Springer, Cham. 2023. P. 197–207. https://doi.org/10.1007/978-3-031-40055-1_10

4) Дмитриев Ю.Г. Зенкова Ж.Н., Зенков А.Г. Статистические свойства оценок метода измерения ценовой чувствительности PSM. Вестник томского государственного университета, Управление, вычислительная техника и информатика, № 47. 2019, c. 30-40 (WoS) DOI: 10.17223/19988605/47/4
Supervisor’s research interests
Statistical modeling based on complete and censored (including interval) data using additional information; application of the models and their modifications in economics, including in marketing, insurance and actuarial calculations and in logistics
Supervisor’s specific requirements
Know mathematical statistics and probability theory, programming skills
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