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Series Approximation Methods in Statistics [electronic resource] / by John E. Kolassa.

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Statistics ; 88Publisher: New York, NY : Springer New York, 2006Edition: Third EditionDescription: X, 222 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780387322278
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 519.5 23
LOC classification:
  • QA276-280
Online resources:
Contents:
Asymptotics in General -- Characteristic Functions and the Berry-Esseen Theorem -- Edgeworth Series -- Saddlepoint Series for Densities -- Saddlepoint Series for Distribution Functions -- Multivariate Expansions -- Conditional Distribution Approximations -- Applications to Wald, Likelihood Ratio, and Maximum Likelihood Statistics -- Other Topics -- Computational Aids.
In: Springer eBooksSummary: To follow.
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Asymptotics in General -- Characteristic Functions and the Berry-Esseen Theorem -- Edgeworth Series -- Saddlepoint Series for Densities -- Saddlepoint Series for Distribution Functions -- Multivariate Expansions -- Conditional Distribution Approximations -- Applications to Wald, Likelihood Ratio, and Maximum Likelihood Statistics -- Other Topics -- Computational Aids.

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