Minimax-robust estimation problems for sequences with periodically stationary increments observed with noise
Тип публікації :
Стаття
Дата випуску :
2020
Автор(и) :
Moklyachuk, M. P.
Luz, M. M.
Мова основного тексту :
Англійська
eKNUTSHIR URL :
Випуск :
3
ISSN :
1812-5409
Початкова сторінка :
68
Кінцева сторінка :
83
Цитування :
[APA 7] Moklyachuk, M. P., & Luz, M. M. (2020). Minimax-robust estimation problems for sequences with periodically stationary increments observed with noise. Bulletin of Taras Shevchenko National University of Kyiv. Physics and Mathematics, (3), 68–83. https://doi.org/10.17721/1812-5409.2020/3.7
[ДСТУ] Moklyachuk M. P., Luz M. M. Minimax-robust estimation problems for sequences with periodically stationary increments observed with noise. Bulletin of Taras Shevchenko National University of Kyiv. Physics and Mathematics. 2020. no. 3. P. 68—83. DOI: 10.17721/1812-5409.2020/3.7 (date of access: 25.07.2026).
The problem of optimal estimation of linear functionals constructed from the unobserved values of a stochastic sequence with periodically stationary increments based on observations of the sequence with stationary noise is considered. For sequences with known spectral densities, we obtain formulas for calculating values of the mean square errors and the spectral characteristics of the optimal estimates of the functionals. Formulas that determine the least favorable spectral densities and the minimax-robust spectral characteristics of the optimal linear estimates of functionals are proposed in the case where spectral densities of the sequence are not exactly known while some sets of admissible spectral densities are specified.Key words: periodically stationary increments, minimax-robust estimate, least favorable spectral density, minimax-robust spectral characteristics.Pages of the article in the issue: 68 - 83Language of the article: English
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