Performances of disorder detection procedure for autoregressive process with unknown noise distribution

S. I. Vorobejchikov, V. V. Konev

    Результат исследований: Материалы для журналаСтатья

    Выдержка

    The sequential procedure of detection of the jump change of autoregressive process parameters with unknown noise distribution is considered. It is supposed that the disorder occurs in unknown moment in time. Proposed disorder detection procedures uses cumulative sums with quantization of statistics. Asymptotic formulae for mean delay of disorder detection and mean time between false alarms are established. The accuracy of obtained performances is illustrated with the help of Monte Carlo method for Gaussian autoregressive first-order process with four quantization levels.

    Язык оригиналаАнглийский
    Страницы (с-по)68-75
    Число страниц8
    ЖурналAvtomatika i Telemekhanika
    Номер выпуска2
    СостояниеОпубликовано - фев 1992

    Отпечаток

    Monte Carlo methods
    Statistics

    ASJC Scopus subject areas

    • Control and Systems Engineering

    Цитировать

    Performances of disorder detection procedure for autoregressive process with unknown noise distribution. / Vorobejchikov, S. I.; Konev, V. V.

    В: Avtomatika i Telemekhanika, № 2, 02.1992, стр. 68-75.

    Результат исследований: Материалы для журналаСтатья

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