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A note on nonlinear regression for the autoregressive moving average with non-hd errors
Authors:Sahadeb Sarkar  Dong Wan Shin
Affiliation:1. Department of Statistics , Oklahoma State University , Stillwater, OK, 74078;2. Department of Applied Statistics , University of Suwon , Suwon, Republic of Korea
Abstract:Estimation by nonlinear regression of the parameters for the stationary and invertible autoregressive moving average (ARMA) model with mixing or martingale difference errors is considered. Simple proofs of consistency and asymptotic normality for the nonlinear least squares estimator are given by exploiting results from nonlinear estimation theory and mixing and mixingale theory.
Keywords:large sample properties  nonlinear estimation  mizingale theory
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