Academic Profile : Faculty

Tianming_1.jpg picture
Asst Prof Zhu Tianming (祝天明)
Assistant Professor, National Institute of Education - Mathematics & Mathematics Education
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Journal Articles (Central)
Zhu, T., Zhang, J. T., & Cheng, M. Y. (2024). A global test for heteroscedastic one-way FMANOVA with applications. Journal of Statistical Planning and Inference, 231(null), 106133.

Chen, K., Toh, T. L., Zhu, T. (2023). Use of dynamic geometry software in the teaching of matrix and transform ation: An exemplar of a classroom enactment. Learning Science and Mathematics Online, 18(1), 1-15.

Zhu, T., Wang, P., & Zhang, J. T. (2023). Two-sample Behrens'Fisher problems for high-dimensional data: a normal reference F-type test. Computational Statistics, 0(null), 1-24.

Ong, Z . P., Chen, A. A., Zhu, T., & Zhang, J. T. (2023). Testing Equality of Several Distributions at High Dimensions: A Maximum-Mean-Discrepancy-Based Approach. Mathematics, 11(20), 4374.

Zhang, L., Zhu, T., & Zhang, J. T. (2023). Two-Sample Behrens'Fisher Problems for High-Dimensional Data: a N ormal Reference Scale-Invariant Test. Journal of Applied Statistics, 50(null), 456-476.

Zhu, T., Zhang, J. T., & Cheng M.Y. (2022). One-way MANOVA for functional data via Lawley'Hotelling trace test. Journal of Multivariate Analysis, 192(null), 105095.

Zhang, J. T., & Zhu, T. (2022 ). A new normal reference test for linear hypothesis testing inhigh-dimensional heteroscedastic one-way MANOVA. Computational Statistics & Data Analysis, 168(null), 107385.

Zhu, T., & Zhang, J. T. (2022). Linear hypothesis testing in high-dimensional one-way ANOVA: a new normal reference ap proach. Computational Statistics, 37(null), 1'27.

Zhang, J. T., & Zhu, T. (2022). A revisit to Bai'Saranadasa's two-sample test. Journal of Nonparametric Statistics, 34(1), 58-76.

Zhu, T., Zhang, L., & Zhang, J. T. (2022). Hypothesis Testing in High-Dimensional Linear Regression: a Normal Reference Scale-Invariant Test. Statistica Sinica, 32(null), 1-23.

Zhang, J. T., & Zhu, T. (2022). A Further Study on Chen'Qin's Test for Two-Sample Behrens'Fisher Problems for High-Dimensional Data. Journal of Statistical Theory and Practice, 16(1), 1-32.

Zhu, T. & Zhang, J. T., (2022). A new k-nearest neighbors classifier for functional data. Statistics and Its Interface, 15(null), 247 ' 260.

Zhang, J. T., Zhou, B., Guo, J., & Zhu, T. (2021). Two-sample Behrens'Fisher problems for high-dimensional data: a normal reference approach. Journal of Statistical Planning and Inference, 213(null), 142-161.

Zhang, L., Zhu, T., & Zhang, J. T. (2020). A Simple Scale-Invariant Two-Sample Test form High-dimensional Data. Econometrics and Statistics, 14(null), 131-144.

Book Chapters (Central)
Zhu, T., & Zhang, J. T. (2020). Cosine Similarity-Based Classifiers for Functional Data. In Fan, J., & Pan, J. (Eds.), Contemporary Experimental Design, Multivariate Analysis and Data Mining(PP. 277-292). Cham: Springer.

 
Conference Papers (Central)


 
Keynote Speeches & Editorship of Special Issues (Central)




Other Research Outputs/Projects (Central)














 
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