Professor Ke-Sheng Cheng
Dept of Bioenvironmental Systems Engineering &
Master Program in Statistics
Email: rslab@ntu.edu.tw
RSLAB_BSE_NTU
No. 1, Section 4, Roosevelt Road
Bioenvironmental Syst. Eng., National Taiwan University
Department of Bioenvironmental Systems Engineering/Master Program in Statistics
Prof. Ke-Sheng Cheng
生物環境系統工程學系/統計碩士學位學程 鄭克聲教授
課程公告
Objective
The skills of data analysis and presentation have become essential for students of all disciplines. Data analysis requires knowledge of statistics and computer program coding. With the advent of statistical software, statistical data analysis and presentation can be conducted quickly and efficiently. R, a programming language and free software environment for statistical computing and graphics, has become one of the most commonly used computing languages in the statistics community. Thus, the objectives of this course are
Target students
This course is intended for students who have no or little experience of R. The focus of this course is to facilitate students with skills of data analysis using R while learning fundamental concepts of statistical methods.
Class format
This class will be conducted in an interactive format through the following arrangements:
SSMs to be covered in this semester will be dependent on the enrolled students. The following SSMs of previous years are only for your reference.
Evaluation
Students will be evaluated based on their performance in the progress report and presentations, as well as their participations in class discussions.
DCAV_R gropus of 2021 fall semester (updated on 10/11/2021)
Weekly schedule of individual groups
Stochastic simulation/Monte Carlo simulation
PPT of the first report by Group 1
PPT of the first report by Group 2
2021-10-06
Tables of the critical values at 0.05 and 0.01 level of significance of the test statistic Dn can be found in most statistics books. In this SSM assignment, we aim to derive the same critical values by stochastic simulation.
PPT of the first report by Group 3
Standardized Precipitation Index (SPI) is a measure of drought. You will learn how to calculate SPI using daily rainfalls of different rainfall stations and use the results to evaluate the spatiotemporal variation of drought occurrences.
Data to be used:
Expected results
PPT of the first report by Group 4
PPT of the first report by Group 5
Establishing acceptance regions for L-moments-based goodness-of-fit tests by stochastic simulation. Journal of Hydrology, Vol. 355, No.1-4, 49-62. (doi:10.1016/j.jhydrol.2008.02.023).
A Non-parametric Approach to the Change-point Problem (A.N. Pettitt, Journal of the Royal Statistical Society. Series C, 1979)
Animation of rainfall-unit hydrograph-runoff simulation by Bo-Yu Chen.
1-hr unit hydrograph UH(1,t) of Wu-Duh flow station and hourly rainfalls of two storm events
Hourly rainfall data of two rainfall stations in northern Taiwan. (Hourly_Rainfall_Data.zip)
RSLAB - NTU
Prof. Ke-Sheng Cheng
RSLAB_BSE_NTU
No. 1, Section 4, Roosevelt Road
Bioenvironmental Syst. Eng., National Taiwan University