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Fourier Series Approximation for the Generalized Baumgartner Statistic

Authors
하형태
Issue Date
2012
Publisher
한국통계학회
Keywords
Fourier series approximation; generalized Baumgartner statistic; Laplace transform; limiting distributions; saddlepoint approximation.
Citation
Communications for Statistical Applications and Methods, v.19, no.3, pp.451 - 457
Journal Title
Communications for Statistical Applications and Methods
Volume
19
Number
3
Start Page
451
End Page
457
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/17364
ISSN
2287-7843
Abstract
Baumgartner et al. (1998) proposed a novel statistical test for the null hypothesis that two independently drawn samples of data originate from the same population,and Murakami (2006) generalized the test statistic for more than two samples. Whereas the expressions of the exact density and distribution functions of the generalized Baumgartner statistic are not yet found,the characteristic function of its limiting distribution has been obtained. Due to the development of computational power, the Fourier series approximation can be readily utilized to accurately and efficiently approximate its density function based on its Laplace transform. Numerical examples show that the Fourier series method provides an accurate approximation for statistical quantities of the generalized Baumgartner statistic.
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