Title of article
Estimation of the mean of multivariate AR processes
Author/Authors
N. M. Arato، نويسنده , , G. Pap، نويسنده , , K. Varga، نويسنده ,
Issue Information
دوهفته نامه با شماره پیاپی سال 2002
Pages
13
From page
707
To page
719
Abstract
In this paper, we show that for autoregressive processes the estimators of mean are consistent if the component of the process is ‘periodical’, and it is not the case if the component is a damping one. In the one-dimensional AR(1) case, the mean cannot be estimated well. In the complex AR(1), where the process behaves periodically, the mean can be estimated well. For an AR(2) process, the mean can be estimated well if the roots of the characteristic equation are complex.
Keywords
Autoregressive (AR) process , Weak stationarity , maximum likelihood estimator , Wiener process
Journal title
Computers and Mathematics with Applications
Serial Year
2002
Journal title
Computers and Mathematics with Applications
Record number
919249
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