NTHU STAT 5510 - Experimental Design and Analysis
Feb ~ Jun 2024
Instructor
Institute of Statistics,
National Tsing Hua University
(鄭少為, 清華大學/統計所)
The course will be given on the basis of 3 hours a week (Wednesday, 1:20~3:10PM, and Thursday, 11:10AM~12:00PM) in 綜合三館 room 834. The materials for teaching will be regularly posted on the course website (http://www.stat.nthu.edu.tw/~swcheng/Teaching/stat5510/index.php).
Data in statistical studies are often collected by conducting either experiments or surveys. Statistical experimental design is the branch of statistics that deals with the design and analysis of experiments. The methods of experimental design are widely used in the fields of agriculture, medicine, biology, marketing research, and industry. In this course, the topics to be covered include:
basic principles and introduction to regression analysis
experiments with a single factor, analysis of variance, multiple comparison
experiments with more than one factor, blocking, Latin squares, analysis of variance and covariance, random effects models, other analysis techniques
factorial experiments at two levels, comparison with “one-factor-at-a-time” plans, analysis of location and dispersion, choice of optimal blocking schemes
fractional factorial experiments at two levels, maximum resolution and minimum aberration for choosing optimal 2n-k designs, choice of optimal blocking schemes
response surface methodology
variation reduction, robust parameter designs, product and process improvement
three-level designs
orthogonal arrays and analysis of experiments with complex aliasing
Dean, A.M., Voss, D., and Draguljic, D. (2017), Design and Analysis of Experiments, 2nd Edition, Springer.
Lawson, J. (2015), Design and Analysis of Experiments with R, Chapman & Hall/CRC.
Faraway, J. J. (2015), Linear Models with R, 2nd Edition, Chapman & Hall/CRC.
Cheng, C.-S. (2014), Theory of Factorial Design: Single- and Multi-Stratum Experiments,
There will be assignments for each topics. You are free to discuss the assignment questions with your classmates, but you must write up your answers individually. You CANNOT turn answers in as a group or simply reproduce a classmate's write up. All homework must be submitted to our eLearn platform before the start of class on the day it is due.
When necessary, a make-up class will be offered via video and the internet. Information about the make-up class will be announced on the course homepage before it is offered.
My office is in 綜合三館 room 818 (phone extension: 33162). My office hour is scheduled on Thursday, 10:00~11:00AM. Questions by e-mail are also welcome: my e-mail address swcheng@stat.nthu.edu.tw.
The information of teaching assistants is as follows:
| Name | Email Address | Office Hour | |
| Time | Location | ||
| 陳冠霖 | stat111024509@gapp.nthu.edu.tw | Tuesday, 3:30~4:20 PM | 綜合三館840室 |
| 宇晉賢 | james1140791215@gapp.nthu.edu.tw | Wednesday, 12:10~1:00 PM | 綜合三館839室 |
Your grade will be determined by homework (30 %), a midterm (30 %), and a final exam (40 %).
Knowledge of linear model and regression analysis (STAT 5410).