Prerequisites: Probability Theory, Statistics, Linear Algebra, Regression Analysis
Class
Notes The class notes will be available in text, pdf or postscript format unless specified otherwise. Transparences: Introduction part 1 Introduction part 2 
A sample for you to start learning R: R program EX. 1 (table1, table1data) R code for Chapter 2
|
Date |
Problems （課堂討論請挑選紅色標記的題目） |
Reading Assignment |
| 0302 |
Chapters 1 and 2 | |
| 0309 |
Chapter 2 # 4, 6, 7, 12, 14, 15, 16, 18, 22, 23, 37 (a, b), 38, 39, 45 | R code for Chapter 2 |
| 0323 |
Chapter 13 # 14, 17, 20, 21 | Chapter 3: 3.1 ~3.3, 3.5 |
| 0411 |
Chapter 3 # 3, 7 (a, b, c, use SNK test for c ), 10 (a, b, use SNK test for b ), 11 (a, b, also use SNK test for b ), 14 (a), 22 (a, b, also use SNK test for b), 22 (d, e), 24 (a,
b, use SNK test for b ), 27 (a, c) Chapter 5 # 1 , 2, 3 (a, c, d), 4 (a, c), 5, 6 (a, b) |
Chapter 3: 3.1 ~3.3, 3.5 and Chapter 5: 5.1~ R code for Chapter 3 etchrate example etchrate data |
| 0427 |
Chapter
4 # 1 , 2, 3, 10
(a, b, use SNK test for b), 13 (a, b, d, SHK for d), 22, 23, 29 |
Chapter 4: 4.1 ~4.2 R code for Vascular Graft example
Chapter 14: 14.1 ~14.3 R code for Ch.14 nested design with purity example |
| 0509 |
Chapter
6 # 1, 2 (a, b), 15 (a, b, e, f), 17, 25 (a) Chapter 7 # 2, 3, 7, 8, 9, 21, 24, 25 |
Chapter 6: 6.1 ~6.5 Chapter 7 |
| 0518 |
Chapter 8 # 10 (a, e), 12, 14, 22, 30 (a, b, c), 51(a) | Chapter 8: 8.1 ~8.7 |
