000 02104nab a2200361 c 4500
001 vtls000791601
003 RU-ToGU
005 20230319221903.0
007 cr |
008 210111|2020 ja s a eng d
024 7 _a10.1007/s13160-019-00390-2
_2doi
035 _ato000791601
040 _aRU-ToGU
_brus
_cRU-ToGU
245 1 0 _aEstimation of the stepwise random disturbance parameters with the unknown moment of appearance
_cO. V. Chernoyarov, L. A. Golpayegani, A. V. Zakharov, K. S. Kalashnikov
336 _aТекст
337 _aэлектронный
504 _aБиблиогр.: 28 назв.
520 3 _aWe have carried out the synthesis of the joint algorithms for the estimation of the parameters of Gaussian random disturbance by the maximum likelihood method. Application of the generalization of local Markov approximation method and small parameter method makes it possible for us to find the asymptotically exact expressions for the characteristics of the specified estimates. We also establish the error range of the obtained theoretical formulas experimentally, by statistical computer simulation.
653 _aслучайные процессы
653 _aметод максимального правдоподобия
653 _aпараметрическая априорная неопределенность
653 _aметод локальной марковской аппроксимации
655 4 _aстатьи в журналах
_9879358
700 1 _aGolpayegani, Leila A.
_9106690
700 1 _aZakharov, Alexander V.
_9501499
700 1 _aKalashnikov, Konstantin S.
_9502848
700 1 _aChernoyarov, Oleg V.
_9167444
773 0 _tJapan journal of industrial and applied mathematics
_d2020
_gVol. 37, № 1. P. 81-102
_x0916-7005
852 4 _aRU-ToGU
856 4 _uhttp://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000791601
908 _aстатья
999 _c476774