Name: Asymptotic Optimal Inference for Non-ergodic Models
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Author: I. V. Basawa
ISBN: 9780387908106

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

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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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Sprog:
Engelsk

ISBN:
9780387908106

Forlag:
Springer-Verlag New York Inc.

Indbinding:
Paperback

Sideantal:
170

Udgivet:
7. februar 1983

Udgave:
11983

Størrelse:
234x156x10 mm.

Vægt:
295 g.

Leveringstid: 8-11 hverdage.
Forventet levering: 10. december 2024

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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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