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Saddlepoint Series for Distribution Functions

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Book cover Series Approximation Methods in Statistics

Part of the book series: Lecture Notes in Statistics ((LNS,volume 88))

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Abstract

Recall from §3 that calculating of distribution function approximations from Edgeworth density approximations was a simple matter. The Edgeworth series for the density is a linear combination of derivatives of the normal distribution function, and hence is easily integrated to give a corresponding cumulative distribution function approximation. This cumulative distribution function approximation inherits many good properties from the density approximation.

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© 1994 Springer Science+Business Media New York

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Kolassa, J.E. (1994). Saddlepoint Series for Distribution Functions. In: Series Approximation Methods in Statistics. Lecture Notes in Statistics, vol 88. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-4275-6_5

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  • DOI: https://doi.org/10.1007/978-1-4757-4275-6_5

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-94277-3

  • Online ISBN: 978-1-4757-4275-6

  • eBook Packages: Springer Book Archive

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