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An efficient method for the estimation of multivariate moving averge models
Authors:Pentti Saikkonen  Ritva Luukkone
Institution:1. Department or statistic , University of helsinki , Finland;2. Institute of occupational health , Helsinki, 00250, Finland
Abstract:Durbin's (1959) efficient method for the estimation of univariate moving average models is generalized to the vector case. Strong consistency and asymptotic normality of the estimator is proved. A simulation experiment is performed to illustrate the behaviour of the method in finite samples.
Keywords:asymptotic normality  long autoregresion  multivariate moving average model  strong consistency
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