Projects per year
Organization 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.
Fingerprint Dive into the research topics where Department of Statistics is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Projects
- 156 Finished
Research Output
Adaptive treatment allocation for comparative clinical studies with recurrent events data
Gao, J., Su, P. F., Hu, F. & Cheung, S. H., 2020 Mar 1, In : Biometrics. 76, 1, p. 183-196 14 p.Research output: Contribution to journal › Article
A Horvitz-type estimation on incomplete traffic accident data analyzed via a zero-inflated Poisson model
Lukusa, M. T. & Hing Phoa, F. K., 2020 Jan, In : Accident Analysis and Prevention. 134, 105235.Research output: Contribution to journal › Article
Open Access
1
Citation
(Scopus)
A note on the weighting-type estimations of the zero-inflated Poisson regression model with missing data in covariates
Lukusa, M. T. & Phoa, F. K. H., 2020 Mar, In : Statistics and Probability Letters. 158, 108654.Research output: Contribution to journal › Article
Student theses
A framework to analyze in-line measurements for yield enhancement in wafer fabrication
Author: 家華, 蔡., 2017 Aug 1Supervisor: Jeng, S. (Supervisor)
Student thesis: Master's Thesis
A Model-Based Sampling Selection Method Based on Classical Multivariate Analysis Methods
Author: 翊涵, 林., 2018 Jul 17Supervisor: Chao, C. (Supervisor)
Student thesis: Master's Thesis
An Empirical Bayesian Approach for Testing Normality
Author: 易錦, 呂., 2017 Sep 12Supervisor: Chang, S. (Supervisor)
Student thesis: Master's Thesis