Asymptotics in Transformed ARMA Models
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In this paper, asymptotic results are investigated when a parametric transformation is applied to ARMA models. The conditions are determined to ensure the strong consistency and the asymptotic normality of maximum likelihood estimators and the correct coverage probability of the forecast interval obtained by the transformation and backtransformation approach.

키워드

Coverage probabilityequicontinuousuniform convergence
제목
Asymptotics in Transformed ARMA Models
저자
여인권
발행일
2011-01
저널명
Communications for Statistical Applications and Methods
18
1
페이지
71 ~ 77