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DEPARTMENT OF MATHEMATICS, STATISTICS, AND PHYSICS

Xiaomi Hu, Professor

Probability Theory & Statistics; PhD, University of Missouri-Columbia, 1993

 

Contact

 

PhD Students

  • Arijit Banerjee, "Testing Homogeneity of a Parameter Matrix some of the rows of which are under synchronized order restrictions", PhD Thesis, Nov 2011.
  • Elizabeth Clarkson, "Equivalenc testing the mean vectors of multivariate normal populations", PhD Thesis, April 2010.
  • Yufei Wang (Current)

 

Research

Dr. Xiaomi Hu's research interest lies in three areas of statistics: restricted statistical inferences, quality control and statistical computing. Bound restriction and order restriction are most commonly encountered constraints when making inferences. Dr. Hu worked on several problems on the properties of statistical procedures under such restrictions. He also studied several problems related to reliability and stochastical processes. Recently he became interested in using new computing tools such as Java applets, VBA for statistical computing.

 

Selected Publications

  • Xiaomi Hu and Arijit Banerjee (2012), On the test for the homogeneity of a parameter matrix with some rows constrained by synchronized order restrictions, The Journal of Multivariate Analysis, 109 64-70.
  • Xiaomi Hu, Jurgen Hansohm, Linda Hoffmann, and Ye Emma Zohner (2012), On the convergence of row-modification algorithm for matrix projections, The Jounal Of Mutlvariate Analysis, 105 216-221.
  • Jurgen Hansohm and Xiaomi Hu (2012), Aconvergent alorithm for a generalized multivariate isotonic regression problem, Statistical Paper, 52 107-115.
  • Xiaomi Hu (2009), p-values of a test on homogeneous means in a multivariate isotonic regression, Statistics & Probability Letter, 79 (19) 2005-201.
  • Xiaomi Hu and Jurgen Hansohm (2008), Merge and chop in the computation for isotonic regression, The Journal of Statistical Planning and Inference, 138 3099-3106.
  • Xiaomi Hu (2008), A three-condition characterization of the Moore-Penrose generalized inverse, The American Statistician, 62 (3) 216-218.