LOCAL ASYMPTOTIC NORMALITY OF MULTIVARIATE ARMA
PROCESSES WITH A LINEAR TREND

BERNARD GAREL 1 AND MARC HALLIN 2

1 Institut National Polytechnique, ENSEEIHT, 2, rue Camichel,
F-31071 Toulouse Cédex, France

2 Institut de Statistique, Université Libre de Bruxelles, Campus de la Plaine CP210,
Boulevard du Triomphe, B-1050 Bruxelles, Belgium

(Received November 16, 1993; revised October 12, 1994)

Abstract.    The local asymptotic normality (LAN) property is established for multivariate ARMA models with a linear trend or, equivalently, for multivariate general linear models with ARMA error term. In contrast with earlier univariate results, the central sequence here is correlogram-based, i.e. expressed in terms of a generalized concept of residual cross-covariance function.

Key words and phrases:    Multivariate linear model, multivariate ARMA process, local asymptotic normality.

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