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The non-null limiting distribution of the generalized Baumgartner statistic based on the Fourier series approximation

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  • Ryo Miyazaki

    (Chuo University)

  • Hidetoshi Murakami

    (Tokyo University of Science)

Abstract

The non-null limiting distribution of the generalized Baumgartner statistic is approximated by applying the Fourier series approximation. Due to the development of computational power, the Fourier series approximation is readily utilized to approximate its probability density function. The infinite product part for a non-central parameter in the characteristic function is re-formulated by using a formula of the trigonometric function. The non-central parameter of the generalized Baumgartner statistic is formulated by the first moment of the generalized Baumgartner statistic under the alternative hypothesis. The non-central parameter is used to calculate the power of the generalized Baumgartner statistic.

Suggested Citation

  • Ryo Miyazaki & Hidetoshi Murakami, 2020. "The non-null limiting distribution of the generalized Baumgartner statistic based on the Fourier series approximation," Statistical Papers, Springer, vol. 61(5), pages 1893-1909, October.
  • Handle: RePEc:spr:stpapr:v:61:y:2020:i:5:d:10.1007_s00362-018-1012-2
    DOI: 10.1007/s00362-018-1012-2
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    References listed on IDEAS

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    1. Duchesne, Pierre & Lafaye De Micheaux, Pierre, 2010. "Computing the distribution of quadratic forms: Further comparisons between the Liu-Tang-Zhang approximation and exact methods," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 858-862, April.
    2. Fatih Tank & Serkan Eryilmaz, 2015. "The distributions of sum, minima and maxima of generalized geometric random variables," Statistical Papers, Springer, vol. 56(4), pages 1191-1203, November.
    3. S. Sadooghi-Alvandi & A. Nematollahi & R. Habibi, 2009. "On the distribution of the sum of independent uniform random variables," Statistical Papers, Springer, vol. 50(1), pages 171-175, January.
    4. R. W. Farebrother, 1987. "The Distribution of a Noncentral χ2 Variable with Nonnegative Degrees of Freedom," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 36(3), pages 402-405, November.
    5. Heinrich Potuschak & Werner Müller, 2009. "More on the distribution of the sum of uniform random variables," Statistical Papers, Springer, vol. 50(1), pages 177-183, January.
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