Organisation profile
Organisation profile
Statistics are the science of analyzing data. In the era of information outbreaks, statistics are based on mathematical theory, using computers to analyze various data, and extract the most important and useful messages in the data so that the most reasonable and scientific decisions can be made. Therefore, the mission statement of Department of Statistics is to cultivate qualified professionals with enthusiasm and global perspectives. The Department of Accounting and Statistics, founded in 1955, was divided into the Accounting Division and the Statistics Division in 1958. In August 1974, the two divisions became independent departments: the Department of Accountancy and the Department of Statistics. In the same year, the evening program of the Department was established. It started the master program in August 1991. In 1998, the Department began to offer the Ph.D. degree. In addition, to coincide with the era of big data, the Department of Statistics applied for the establishment of "Institute of Data Science". The Institute of Data Science will be established in 2018 to offer a master degree and actively cultivate students with data analysis talent.
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Collaborations and top research areas from the last five years
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Profiles
Projects
- 182 Finished
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Association of a Cancer Diagnosis and Mortality After Ischemic and Hemorrhagic Stroke and Myocardial Infarction
Huang, Y. T., Cheng, M. C. Y., Hsieh, C. Y., Lai, C. H., Yeh, Y.-M., Yang, A. S. H., Shyr, Y., Lai, E. & Lai, C.-H., 2026, In: Neurology. 106, 5Research output: Contribution to journal › Article › peer-review
Open Access -
Microenvironment-aware spatial modeling for accurate inference of cell identity
Liu, Q., Wang, Y., Hsu, C. Y., Wanjalla, C. N., Lau, K. S. & Shyr, Y., 2026 Jan 13, In: Nucleic acids research. 54, 1, gkaf1477.Research output: Contribution to journal › Article › peer-review
Open Access -
Advances in nonparametric multivariate control charts: Integrating depth functions with the exceedance probability criterion in Phase I analysis
Yang, H. J. & Li, C. I., 2025 Nov, In: Computers and Industrial Engineering. 209, 111454.Research output: Contribution to journal › Article › peer-review
Student theses
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A framework to analyze in-line measurements for yield enhancement in wafer fabrication
家華, 蔡 (Author), Jeng, S.-L. (Supervisor), 2017 Aug 1Student thesis: Master's Thesis
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A Model-Based Sampling Selection Method Based on Classical Multivariate Analysis Methods
翊涵, 林 (Author), Chao, C.-T. (Supervisor), 2018 Jul 17Student thesis: Master's Thesis
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Analysis of Symbolic Interval-Valued Variables and Interval Time Series Based on Normal Distribution
湘霖簡 (Author), Lin, L.-C. (Supervisor), 2019Student thesis: Doctoral Thesis