Class of Modified Two-Stage Procedure in a Autoregressive Process
Keywords:
Modified two-stage procedure, Autoregressive process, Asymptotic risk efficiency, Asymptotic efficiency, Asymptotic consistency.Abstract
In this paper, we first discuss the class of modified two-stage procedure for estimation of the autoregressive parameter in a first-order autoregressive model ( AR(1)).
We prove the significant properties of the modified two-stage procedure, including asymptotic efficiency, asymptotic risk efficiency, and asymptotic consistency for the point and the interval estimation based on least-squares estimators.
Then, the introduced class is generalized to the p-order autoregressive model ( AR(p)) and is checked their asymptotic properties of which.
Also, we conduct comprehensive Monte Carlo simulation studies to test the properties of the proposed procedure in practice.
Finally, a real-time series is provided to investigate the applicability of the class of modified two-stage variables.
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