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ESTIMATION OF THE PARAMETERS FOR UNSTABLE AR MODELS

ESTIMATION OF THE PARAMETERS FOR UNSTABLE AR MODELS
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摘要 This paper is concerned with the unstable autoregressive process which satisfies the unstable autoregressive(AR) model U(B)G(B)xt=εt , where all the roots of the polynomials U(z) and G(z)lie on and outside the unit circle respectively. We propose several procedures to estimate the coefficients of U(z) and G(z) separately, in order to guarantee that the estimated polynomials of U(z) and G(z) have all the roots lying on and outside the unit circle respectively. The estimators of the coefficients of U(z) and G(z) are shown to be of strong consistency. The limiting distribution of the estimators of the coefficients of U(B)G(B) are obtained for some special cases. This paper is concerned with the unstable autoregressive process which satisfies the unstable autoregressive(AR) model U(B)G(B)xt=εt , where all the roots of the polynomials U(z) and G(z)lie on and outside the unit circle respectively. We propose several procedures to estimate the coefficients of U(z) and G(z) separately, in order to guarantee that the estimated polynomials of U(z) and G(z) have all the roots lying on and outside the unit circle respectively. The estimators of the coefficients of U(z) and G(z) are shown to be of strong consistency. The limiting distribution of the estimators of the coefficients of U(B)G(B) are obtained for some special cases.
出处 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 1995年第3期225-239,共15页 应用数学学报(英文版)
关键词 Unstable AR model estimation parameters strong consistency asymptotic Distribution Unstable AR model estimation parameters strong consistency asymptotic Distribution
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