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Communications in Statistics - Theory and Methods Volume 47, 2018 - Issue 22
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Articles

Testing equality of mean vectors in a one-way MANOVA with monotone missing data

Ayaka YagiDepartment of Applied Mathematics, Tokyo University of Science, Shinjuku-ku, Tokyo, Japan
,
Takashi SeoDepartment of Applied Mathematics, Tokyo University of Science, Shinjuku-ku, Tokyo, JapanCorrespondence[email protected]
&
Muni S. SrivastavaDepartment of Statistical Sciences, University of Toronto, Toronto, Canada
Pages 5534-5546 | Received 28 Dec 2016, Accepted 22 Oct 2017, Published online: 27 Nov 2017

References

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  • Siotani, M., T. Hayakawa, and Y. Fujikoshi. 1985. Modern multivariate statistical analysis: A graduate course and handbook. Columbus, OH: American Science Press.
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  • Yagi, A., and T. Seo. 2017. Tests for normal mean vectors with monotone incomplete data. American Journal of Mathematical and Management Sciences 36:1–20.
  • Yagi, A., T. Seo, and M. S. Srivastava. 2017. A modified likelihood ratio test for a mean vector with monotone missing data. Discussiones Mathematicae Probability and Statistics in press.
  • Yu, J., K. Krishnamoorthy, and K. M. Pannala. 2006. Two-sample inference for normal mean vectors based on monotone missing data. Journal of Multivariate Analysis 97:2162–76.

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