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Nonoverlapping Clusters: Approximate Distribution and Application to Molecular Biology

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  • Xiaoping Su
  • Sylvan Wallenstein
  • David Bishop

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Suggested Citation

  • Xiaoping Su & Sylvan Wallenstein & David Bishop, 2001. "Nonoverlapping Clusters: Approximate Distribution and Application to Molecular Biology," Biometrics, The International Biometric Society, vol. 57(2), pages 420-426, June.
  • Handle: RePEc:bla:biomet:v:57:y:2001:i:2:p:420-426
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2001.00420.x
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    References listed on IDEAS

    as
    1. Su, Xiaoping & Wallenstein, Sylvan, 2000. "New approximations for the distribution of the r-scan statistic," Statistics & Probability Letters, Elsevier, vol. 46(4), pages 411-419, February.
    2. Glaz, Joseph, 1992. "Approximations for tail probabilities and moments of the scan statistic," Computational Statistics & Data Analysis, Elsevier, vol. 14(2), pages 213-227, August.
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    Cited by:

    1. Minge Xie & Qiankun Sun & Joseph Naus, 2009. "A Latent Model to Detect Multiple Clusters of Varying Sizes," Biometrics, The International Biometric Society, vol. 65(4), pages 1011-1020, December.
    2. Sun, Yan V. & Jacobsen, Douglas M. & Turner, Stephen T. & Boerwinkle, Eric & Kardia, Sharon L.R., 2009. "Fast implementation of a scan statistic for identifying chromosomal patterns of genome wide association studies," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1794-1801, March.

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