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Maximum likelihood estimation for arma models in the presence of ARMA errors
Authors:Jong Hyup Lee  Dong Wan Shin
Affiliation:1. Department of Statistics , Sungshin Women's University , Corporate Research and Development One Research Circle, Seoul, Korea;2. Department of Statistics , Ewha Womans University , Corporate Research and Development One Research Circle, Seoul, Korea
Abstract:An ARMA(p, q) process observed with an ARMA(c, d) error has an ARMA (p + c, k) representation with k = max(c + q, p + d) whose parameters satisfy some nonlinear constraints. Identification of the model is discussed. We develop Newton-Raphson estimators for the ARMA(p + c, k) process which take advantage of the information contained in the nonlinear restrictions. Explicit expressions for the derivatives of the restrictions are derived.
Keywords:ARMA error  Identification  Maximum likelihood estimation  Newton-Raphson procedure
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