Experimental Designs 

Spring  2016

MandH

Course Info

Syllabus

Instructor: Yu-Ling Tseng.      Office Hours: W. 13:00 ~ 15:00

Prerequisites: Probability Theory, Statistics, Linear Algebra, Regression Analysis
Class Notes    
也順便練習用LaTex做投影片吧，範例：Example LaTex for transparences
Example LaTex output

期末報告  各組報告時間  30 分鐘  

0614 前三組, 0616 第四組報告，        地點：系會議室
評分方式：presentation style, understanding, team work, and time control. Each with 25%.


期末考在6月21日 13：10 ～ 14：30 舉行

You may find this web helpful to better understanding Chapter 9.
https://onlinecourses.science.psu.edu/stat503/node/55
  • 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
    • Assignments       

    Date

    Problems   （課堂討論請挑選紅色標記的題目）

    Reading Assignment
    0308
    		Chapters 1 and 2
    0315
    		 Chapter 2 # 4, 6, 7, 12, 14, 15, 16, 18, 22, 23,  37 (a, b), 38, 39, 45
    0324
    		 Chapter 13 # 14, 21
    Chapter 3 # 3, 7 (a, b, c, use SNK test for c ), 14 (a), 22 (a, b, d, e, also use SNK test for b), 24 (a, b, use SNK test for b ), 27 (a, c) 
    		Chapter 3: 3.1 ~3.3, 3.5  and Chapter 5: 5.1~5.3.2
     R code for Chapter 3 etchrate example   etchrate data
    0414

    Chapter 4 # 1 , 2, 3, 10 (a, b, use SNK test for  b), 13 (a, b, d, SHK for d), 23, 29 

    Chapter 14 # 5 , 7, 9, 10

    Chapter 4: 4.1 ~4.2  R code for  Vascular Graft example

    vasgraft data

    R code for Latin square

    Chapter 14: 14.1 ~14.3  R code for Ch.14 purity example 

    purity data
    0503
    		 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
    0519
    		 Chapter 8 # 10 (a, e), 12, 14, 22, 30 (a, b, c), 51(a) Chapter 8: 8.1 ~8.7
    0526
    		 Chapter 4 # 40, 42, 45, 46, 49, 50 Chapter 4: 4.4 R code for Chapter 4  example4.5 p.170

    R code generate BIBD
     Selected sections in the textbook (Montgomery, 8ed) for presentation:
    1.    3.4, 3.5.1~3.5.3.3: Model adequacy checking and (graphical) comparisons of treatment means (P. 80 ~ 91, 198) 
    2.    3.7, 13.4: Determining the sample size (P. 105~109, P. 587~588) and 4.2, 4.3: Replication of Latin squares, Graeco-Latin square designs (P. 163~168)
    3.    9.1~9.2:   factorial designs (P. 394~407) 李怡萱,陳璟元,鄒聯佑,范家禎組已選 Thu, 12 May 2016 13:57:32收到email
    4.    9.3~9.4: Fractional replication of  designs (P. 408~415) 戴培華,洪瑛璘,劉政剛,林伽昕組已選 Tue, 10 May 2016 22:28:52收到email
    5.    11.1~11.3: Response surface methodology (I) (P.478~500)
    6.    11.4: Response surface methodology (II) (P.500~520)
    7.    12.1~12.5: Robust designs (P.554~569) 林唯德、沈維揚、連育妏、陳怡婷組已選 Thu, 05 May 2016 20:17:32 收到email
    8.    13.6~13.7: Approximate F tests and topics on estimating variance components (P. 592~600) 蔡宜軒、古珮玲、許景植、江嘉容組已選 Tue, 03 May 2016 21:55:07 收到email 
    9.    14.4, 14.5.1~14.5.2: Split-plot, Split-Split-plot designs (P. 621~635)
    10.     3.3.4, 15.2~15.3 : Unbalanced data in a factorial design and analysis of covariance (P. 79, P. 652~676)

    Computing 
    1. R website (original, mirror @ Academia Sinica)
    2. Data Sets     Data Set in TXT   感謝天皇勞心勞力費神的將.xls的資料檔拆解成個別的.txt檔！！！
    3. DAE
    4. R ClassRoom
    5. SimpleR (by John Verzani)
    6. Document Reader: Ghostview, Acrobat Reader

    Murray_0408

    Last modified: 20150224
    yltseng@mail.ndhu.edu.tw