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Asymptotic Optimal Inference for Non-ergodic Models

af I. V. Basawa, D. J. Scott

indgår i Lecture Notes in Statistics serien

Asymptotic Optimal Inference for Non-ergodic Models af I. V. Basawa
Bag om Asymptotic Optimal Inference for Non-ergodic Models

This monograph contains a comprehensive account of the recent work of the authors and other workers on large sample optimal inference for non-ergodic models. The non-ergodic family of models can be viewed as an extension of the usual Fisher-Rao model for asymptotics, referred to here as an ergodic family.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780387908106
  • Indbinding:
  • Paperback
  • Sideantal:
  • 170
  • Udgivet:
  • 7. februar 1983
  • Udgave:
  • 11983
  • Størrelse:
  • 234x156x10 mm.
  • Vægt:
  • 295 g.
  • 8-11 hverdage.
  • 16. januar 2025

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This monograph contains a comprehensive account of the recent work of the authors and other workers on large sample optimal inference for non-ergodic models. The non-ergodic family of models can be viewed as an extension of the usual Fisher-Rao model for asymptotics, referred to here as an ergodic family.

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