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.

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    Projects

    隱私保護社群資料探勘及其應用(2/3)

    Li, C.

    19-02-0120-01-31

    Project: Research project

    指數分散加速衰變試驗之設計與分析

    Lee, I.

    17-10-0118-09-30

    Project: Research project

    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 journalArticle

  • 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 journalArticle

    Open Access
  • 1 Citation (Scopus)
  • Student theses

    A framework to analyze in-line measurements for yield enhancement in wafer fabrication

    Author: 家華, 蔡., 2017 Aug 1

    Supervisor: 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 17

    Supervisor: Chao, C. (Supervisor)

    Student thesis: Master's Thesis

    An Empirical Bayesian Approach for Testing Normality

    Author: 易錦, 呂., 2017 Sep 12

    Supervisor: Chang, S. (Supervisor)

    Student thesis: Master's Thesis