Higher Order Asymptotic Theory for Time Series Analysis (Lecture Notes in Statistics, #68)

by Masanobu Taniguchi

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This study explores higher order asymptotic results in time series analysis, particularly the higher order asymptotic optimality of estimators and the power comparison of tests for ARMA processes. It covers the higher order asymptotics of statistics of multivariate stationary processes. Numerical studies are given, which demonstrate 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. It is hoped that the results of this text will serve as the basis for further theoretical development.
  • ISBN10 1461231558
  • ISBN13 9781461231554
  • Publish Date 22 October 1991 (first published September 1991)
  • Publish Status Withdrawn
  • Out of Print 18 October 2014
  • Publish Country US
  • Imprint Springer My Copy UK
  • Format Paperback (US Trade)
  • Pages 172
  • Language English