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Více informací o knize Detecting Autocovariance Change in Time Series

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Anotace knihy

A new test to detect changes in the covariance §structure of a time series is developed. The test §does not involve direct fitting of an assumed model §for the time series. It is based on detecting §changes in autocovariances calculated in a moving §window through the series. The use of standard tests §of time series change points is inappropriate §because of the correlations imposed by the moving §windows. This requires the development of new §adjustments to existing time series change point §tests. The ability of this moving window technique §to detect changes in the lag one autocovariance of §autoregressive and moving average time series is §studied. We illustrate the application of this new §test on UK Treasury bill rates and airline travel §data.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Probability & statistics

• Plný název: Detecting Autocovariance Change in Time Series
• Podnázev: A Simple Technique using Moving Window to Detect Change Point in Time Series
• Autor: Wisam Yaghi
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 104
• EAN: 9783639172904
• ISBN: 3639172906
• ID: 06825611
• Nakladatelství: VDM Verlag
• Hmotnost: 163 g
• Rozměry: 229 × 152 × 6 mm
• Datum vydání: 17. July 2009

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