Exploring the relation between the r* approximation and the Edgeworth expansion
In this paper we study the relation between the r* saddlepoint approximation and the Edgeworth expansion when quite general assumptions for the statistic under consideration are fulfilled. We will show that the two term Edgeworth expansion approximates the r* formula up to an O(n <Superscript>−3/2</Superscript>) remainder; this provides a new way of looking at the order of the error of the r* approximation. This finding will be used to inspect the close connection between the r* formula and the Edgeworth B adjustment introduced in Phillips (Biometrika 65:91–98, <CitationRef CitationID="CR16">1978</CitationRef>). We will show that, whenever an Edgeworth expansion exists, this adjustment approximates both the distribution function of the statistic and the r* formula to the same order degree as the Edgeworth expansion. Some numerical examples for the sample mean and U-statistics are given in order to shed light on the theoretical discussion. Copyright Springer-Verlag 2012
Year of publication: |
2012
|
---|---|
Authors: | Arevalillo, Jorge |
Published in: |
Metrika. - Springer. - Vol. 75.2012, 8, p. 1009-1024
|
Publisher: |
Springer |
Subject: | Asymptotic statistics | Edgeworth expansion | r* saddlepoint approximation | Cumulants |
Saved in:
Online Resource
Saved in favorites
Similar items by subject
-
Harrar, Solomon, (2007)
-
Peiris, Shelton, (2014)
-
On testing homogeneity of variances for nonnormal models using entropy
Gupta, Arjun, (2007)
- More ...
Similar items by person