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Higher order asymptotic theory for time series analysis

谷口正信, 著TaniguchiMasanobu

This book gives higher order asymptotic results in time series analysis. Especially, higher order asymptotic optimality of estimators and power comparison of tests for ARMA processes are discussed. It covers higher order asymptotics of statistics of multivariate stationary processes. Numerical studies are given, and they show that the higher order asymptotic theory is useful and important for time series analysis. Also the validities of Edgeworth expansions of some estimators are proved for dependent situations. Many results will serve as the basis for the further theoretical development and their applications.

出版社
Springer-Verlag
発売日
1991-01-01
ISBN
9780387975467

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