ST 711 - Fall 2011
Design of Experiments

Meeting Time: MW 1:30-2:45 1216 SAS Hall (map, lower right area)

Instructor:

• D. A. Dickey ,
• 5230 SAS Hall
• Instructor Office Hours: M,W: 3:00-4:00
• Instructor e-mail

TA:

• Ye Liu ( e-mail ),
  Office Hours in 1101 SAS Hall 9-10 a.m. Tues. & Thurs.
  ...........
  
  • Textbook: Giesbrecht, F. and Gumpertz, M.
    Planning, Construction, and Statistical Analysis of Comparative Experiments (Wiley, 2004).
    

  • Companion web site
    

  • Class notes: available on course web site.
    

  **** Test Dates:     Mon. Sept. 19 ,    Wed. Oct. 26,     Mon. Nov. 21 ****

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  Topics

  	Reading in G&G
  Important Concepts in Experimental Design	Chapter 1 & 2
  Review of Model Parameterizations, etc.	Chapter 3
  Hypothesis Testing	Chapter 4
  F-statistics and randomization tests
  Power and sample size
  Some topics on RCB designs	Chapter 5
  REML estimation and PROC MIXED
  Estimation for models with random effects
  Latin squares and related designs	Chapter 6
  Split Plots	Chapter 8
  Incomplete Block Designs	Chapter 8
  Balanced incomplete block designs
  Youden squares, lattice designs
  Two level factorials and single reps	Chapter 10,(skip 11), 12 (first part)
  Factorials in incomplete blocks	Chapter 13
  Confounding
  Defining contrasts
  Fractional factorials	Chapter 14
  Response surface and mixture designs	Chapter 15
  Additional topics, time permitting	***

  **** Test Dates:     Mon. Sept. 19 ,    Wed. Oct. 26,     Mon. Nov. 21 ****

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  Tests

  For exams, you may bring one sheet of standard size paper with anything
  you want written on it (both sides). Other than that, the tests are
  closed book and closed notes. For the final, you may bring
  3 sheets.

  Homework

  For this course you may discuss homework assignments freely with others
  but you are expected to write up your own work and do your own computer
  programming.

  Percentage points for final grades:

  • Homework 20 points total
  • 3 tests 20 points each (60 for all 3)
  • final exam 20 points
  • 100 points total

  At the end of the semester, I will impute an estimated final
  exam grade based on your homework and test performance, then announce
  the grade cutoff values and tell you where you stand. You can accept
  that grade and be finished, or take the final in which case I will
  recompute your grade replacing your estimated final with your actual
  final (if it is higher).
  
  

  No makeup exams will be given. If you miss an exam for a valid
  reason, you can so inform me and I will use the final exam (you'd
  have to take it) to impute a grade.

  **** Test Dates:     Mon. Sept. 19 ,    Wed. Oct. 26,     Mon. Nov. 21 ****

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If you have trouble hearing or seeing or have any other disability,
you may wish to contact the university office of
Disability Services for Students (DSS)

Academic Integrity

Honesty is the most important aspect of any scientific work.
A signature on an exam implies that the work is the student's
own and that the university policy on academic integrity has
been followed. The university policy on academic integrity
is found in the Code of Student Conduct (http://www.fis.ncsu.edu/ncsulegal/codeof.htm).

Course Evaluations

Schedule:  Online class evaluations will be available for students to
complete during the last week of class. 

Students will receive an email message directing them to a website
where they can login using their Unity ID and complete evaluations.
All evaluations are confidential; instructors will never know how any 
one student responded to any question, and students will never know the
ratings for any particular instructors.

• Evaluation website: https://classeval.ncsu.edu
• Student help desk: classeval@ncsu.edu
• More information about ClassEval: http://www2.acs.ncsu.edu/UPA/classeval/index.htm

  Return to ST711 home page.

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  Additional Reference Books

  Box, G. E. P., Hunter, W. G. and Hunter, J. S. 1978. Statistics for Experimenters. Wiley. New York.

  Cochran, W. G. and Cox, G. M. 1997. Experimental Designs. 2nd Ed. John Wiley, New York.

  Cox, D. R. 1958. Planning of Experiments. Wiley, New York.

  Dean, A. M. and Voss, D. 1999. Design and Analysis of Experiments. Springer, New York.

  Fisher, R. A. and Yates, F. 1963. Statistical Tables for Biological, Agricultural and Medical Research. 6th Edition. Hafner Publishing Co. New York.

  Good, P. 2000. Permutation Tests. 2nd Edition. Springer. New York.

  Hicks, C. R. and Turner, K. V. 1999. Fundamental Concepts in the Design of Experiments. 5th Ed. Oxford University Press, New York.

  Hinklemann, K. and Kempthorne, O. 1994. Design and Analysis of Experiments. Wiley, New York.

  John, J. A. 1987. Cyclic Designs. Chapman & Hall. London.

  John, J. A. and Quenouille, M. H. 1977. Experiments: Design and Analysis. 2nd Edition. Charles Griffith & Co. Ltd., London.

  John, J. A., Wolock, F. W. and David, H. A. 1972. Cyclic Designs. National Bureau of Standards Applied Math Series No. 62.

  John, Peter W. M. 1971. Statistical Design and Analysis of Experiments. MacMillan Co., New York.

  Jones, B. and Kenward, M. G. 1989. Design and Analysis of Cross-over Trials. Chapman and Hall, London.

  Kempthorne, O. 1979. The Design and Analysis of Experiments. Robert E. Krieger Publ. Co. Huntington, New York.

  Kuehl, R. O. Statistical Principles of Research Design and Analysis, Duxbury Press. Belmont, CA.

  Mead, R. 1988. The Design of Experiments. Cambridge University Press. Cambridge.

  Milliken, G. and Johnson, D. 1992. Analysis of Messy Data. Chapman & Hall, New York.

  Montgomery, D. C. 1991. Design and Analysis of Experiments. 3rd edition. Wiley, New York.

  Myers, R. H. and Montgomery, D. C. 1995. Response Surface Methodology. Wiley, New York.

  Verbeke, G. and Molenberghs, G. 1997. Linear Mixed Models in Practice. A SAS-Oriented Approach. Springer. New York.

  Wu, C.F.J. and Hamada, M. 2000. Experiments: Planning, Analysis, and Parameter Design Optimization. Wiley. New York.

  Last modified July 29, 2011