TAR(p)/ARCH(1) process guaranteed parameter estimation and change-point detection; International MultiConference of Engineers and Computer Scientists, IMECS 2016; Vol. 2
| Parent link: | International MultiConference of Engineers and Computer Scientists, IMECS 2016: Proceedings of the Conference, March 16-18, 2016, Hong Kong Vol. 2.— 2016.— [P. 936-941] |
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| מחבר תאגידי: | |
| מחברים אחרים: | , |
| סיכום: | Title screen A sequential method of unknown autoregressive parameters estimation of TAR(p)/ARCH(1) model, which all are assumed to be unknown, is presented. This procedure is based on the construction of the special stopping rule and weights for weighted least square estimation method, which allow us to guarantee the prescribe accuracy of the estimation.Also a sequential procedure of change point detection is proposed. Upper bounds for its basic characteristics, such as the probability of false alarm and the delay probability, are obtained. |
| שפה: | אנגלית |
| יצא לאור: |
2016
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| גישה מקוונת: | http://www.iaeng.org/publication/IMECS2016/IMECS2016_pp936-941.pdf |
| פורמט: | אלקטרוני Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=648825 |
| סיכום: | Title screen A sequential method of unknown autoregressive parameters estimation of TAR(p)/ARCH(1) model, which all are assumed to be unknown, is presented. This procedure is based on the construction of the special stopping rule and weights for weighted least square estimation method, which allow us to guarantee the prescribe accuracy of the estimation.Also a sequential procedure of change point detection is proposed. Upper bounds for its basic characteristics, such as the probability of false alarm and the delay probability, are obtained. |
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