University of New Haven
University of New Haven,
300 Boston Post Road,
West Haven, CT 06516
1-800 DIAL-UNH or 1-800-342-5864
UNH Faculty

Jiajuan Liang

University of New Haven: Faculty

University of New Haven: Faculty University of New Haven: Faculty University of New Haven: Faculty
University of New Haven: FacultyUniversity of New Haven: Jiajuan Liang University of New Haven: Faculty
University of New Haven: Faculty
University of New Haven: Faculty Jiajuan (John) Liang, Ph.D.
University of New Haven: Faculty University of New Haven: Faculty
Title: Associate Professor
University of New Haven: Faculty University of New Haven: Faculty
College: College of Business
Dept: Marketing & Quantitative Analysis
Phone: 203.932.7354
Email: jliang@newhaven.edu
Office: Maxcy 126-I
300 Boston Post Rd.
West Haven, CT 06516

Education

Ph.D. in Multivariate Statistics: Hong Kong Baptist University
Master of Science in Multivariate Statistics: Nankai University, P.R. China
Bachelor of Science in Mathematics: Nankai University, P.R. China

Biography

Jiajuan (John) Liang, Ph.D. (Hong Kong Baptist University), is an Associate Professor in the Department of Marketing & Quantitative Analysis. He joined the University of New Haven in September, 2001 and was awarded as the UNH University Research Scholar (2010-2013). His teaching areas include Business Statistics and Business Mathematics for undergraduate business majors, and Probability and Statistics for MBA students. Dr. Liang’s research interests mainly focus on general statistical methodologies and its applications in business, graphical statistical methods, dimension-reduction techniques in high-dimensional data analysis and its implications in large-scale capital asset pricing models in quantitative finance, and computer-aided teaching methods for quantitative courses for business majors.

He has published over 30 papers in peer-reviewed statistical journals, professional journals in business research and pedagogy, and book chapters by prestigious publishers. Among his joint papers, 1) the paper "Testing Multivariate Uniformity and Its Applications" was published in Mathematics of Computation (2001), the leading journal of American Mathematical Society and is ranked as the top journal in computational mathematics; 2) the paper "A New EM Algorithm for Fitting Two-Level Structural Equation Models" was published in Psychometrika (2004), the leading journal of Psychometric Society< and is ranked as the top journal in mathematical and statistical psychology; 3) the paper "Some Necessary Tests for Spherical Symmetry" was published in The Annals of the Institute of Statistical Mathematics (2008), the leading journal of the Japanese Statistical Society; 4) the book chapter "A Unified Approach to Two-level Structural Equation Models and Linear Mixed Effects Models" (2008) was published in Lecture Notes in Statistics of the prestigious Springer-Verlag, New York; and 5) the paper "A Multivariate Normal Plot to Detect Non-normality, Journal of Computational and Graphical Statistics (2009), one of the leading journals of the American Statistical Association and is ranked as the top journal in graphical statistics. Up to the year 2011, Dr. Liang's research papers have been cited at least 185 times by peer-reviewed and professional journals listed in Google Scholar (http://scholar.google.com).

Dr. Liang actively involves in professional and academic activities such as serving as frequent referees for peer-reviewed statistical journals such as: Journal of the Royal Statistical Society (Series B and C); Computational Statistics & Data Analysis; Metrika; Communications in Statistics –Theory and Methods; TEST; Journal of Multivariate Analysis; Statistics; Multivariate Behavioral Research; Journal of Statistical Planning & Inference; Biometrical Journal; Statistics in Medicine; Statistics Education Research Journal; Psychometrika; Statistics and Probability Letters. Dr. Liang is an active member of the American Statistical Association. For more information about Dr. Liang's research and teaching, please visit his personal website: http://newton.newhaven.edu/jliang.

Refereed Publications

Conference Presentations:

  • Hongbin Fang, Kai-Tai Fang, Runze Li and Jiajuan Liang (1997). New non-central t- and F-distributions for high-dimensional mean test. Meeting presentation in: 1997 International Symposium on Multivariate Analysis and Its Applications held in Hong Kong Baptist University, May 19-22, 1997.
  • Jiajuan Liang and Peter M. Bentler (2000). Constrained maximum likelihood analysis of general two-level structural equation models via EM type algorithms. Meeting presentation in: The 2000 Annual Meeting of the Psychometric Society, held in University of British Columbia, Vancouver, Canada, July 6-8, 2000.
  • Peter M. Bentler and Jiajuan Liang (2000). General two-level mean and covariance structural equation models: maximum likelihood via EM type algorithms. Meeting presentation in: The Fifth International Conference on Logic and Methodology (October 3-6, 2000). University of Cologne, Germany.
  • Jiajuan Liang and William S. Pan (2003). Characterization-based Q-Q plots for testing multinormality. Meeting presentation in: The 2003 Hawaii International Conference on Statistics and Related Fields. June 5-8 (2003). Honolulu, Hawaii.
  • Jiajuan Liang and Peter M. Bentler (2003). Heterogeneous mean and covariance structure analysis for two-level latent variable models. Meeting presentation in: The 2003 Joint Statistical Meeting in San Francisco. August 3-7 (2003). San Francisco, CA.
  • Jiajuan Liang and Peter M. Bentler (2004). A unified approach to studying two-Level structural equation models and linear mixed effects models. Meeting presentation in: The 2004 Joint Statistical Meeting in Toronto, Canada. August 8-11 (2004).
  • Jiajuan Liang, Kai-Tai Fang, Fred J. Hickernell, and Runze Li (2005). T3-plot for testing high-dimensional spherical symmetry with low sample size data. Presentation in: The International Conference on Statistics in honor of Professor Kai-Tai Fang for his 65th Birthday, 6/20-24, 2005, Hong Kong, China.
  • Peter M. Bentler and Jiajuan Liang (2005). Testing multinormality in two-level structural equation models. Plenary talk given by Dr. Peter M. Bentler in: The International Conference on Statistics in honor of Professor Kai-Tai Fang for his 65th Birthday, 6/20-24, 2005, Hong Kong, China.
  • Jiajuan Liang and William S. Y. Pan (2005). Testing the mean for business data: using the t-test, z-test, F-test or the chi-square test? Presentation given by Dr. William Pan in: The International Business & Economics Research and College Teaching & Learning Conference, 10/3-7, 2005, Las Vegas, Nevada.
  • William S. Y. Pan, Kamal Upadhyaya and Jiajuan Liang. (2005). Impact of China's Yuan revaluation. Presentation given by Dr. William Pan in: The International Business & Economics Research and College Teaching & Learning Conference, 10/3-7, 2005, Las Vegas, Nevada.
  • Jiajuan Liang and Kai Wang Ng. A method for generating uniformly scattered points on the Lp-norm unit sphere and its applications. Paper presented in The International Conference on Statistics and Its Applications, July 9-13, 2006, Tianjin, China.
  • Jiajuan Liang and Peter M. Bentler. A dimension-reduction method for detecting non-multinormality in two-level structural equation models. International Meeting of the Psychometric Society, July 9-13, 2007, Tokyo, Japan.

Papers under Review:

  • Jiajuan Liang and Kai Wang Ng (2007). A multivariate extension to Royston's normal plot for detecting non-multinormality.
  • Peter M. Bentler and Jiajuan Liang (2007). A unified approach to two-level structural equation models and linear mixed effects models.
  • Jiajuan Liang, Man-Lai Tang, and Ping Shing Chan. (2007). Generalized Shapiro-Wilk W statistic for testing multinormality.
  • Jiajuan Liang and Man-Lai Tang (2007). A generalized F-test for analyzing studies with multiple endpoints.

Courses Taught

QA118 Business Mathematics
QA216 Business Statistics
QA604 Probability & Statistics


Other

Research Interests:

  • Data analysis methods; statistical model fitting; computational methods for complicated statistical models; statistical methods for management decision making.

Regular Referee for the Statistical Journals:

Journal of Multivariate Analysis, Psychometrika, International Statistical Review, Behaviormetrika, Computational Statistics and Data Analysis, Statistics and Probability Letters, Statistica Sinica, Statistics Education Research Journal, Biometrical Journal, Communications in Statistics.

Awards obtained:

  • Mr. Daniel Kuo Kwok Chuen Postgraduate Scholarship in the academic year 1996-97 in Hong Kong Baptist University
  • Summer Faculty Fellowship Awards in the academic years 2002, 2003, 2004, 2005, 2006 and 2007 at the University of New Haven
  • Botwinik Travel Fund Award in the academic year 2002/2003 at the University of New Haven
  • Summer Research Fund Award in the academic years 2003/2004 and 2005/2006 at the University of New Haven.
  • Excellence in Research/Creativity Activity Award 2007 at the University of New Haven.

My Paper Citation


For more information, visit My personal website
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