Advanced Design of Experiments

Brief Description:

The aim of the course is to present advanced and important concepts that have received very little attention, such as designs for irregular experimental regions and Analysis of Means (ANOM).

Instructor(s):
Level: Intermediate/Advanced

Who Should Take This Course:

Engineers, industrial statisticians, quality control and six-sigma statisticians, anyone who designs experiments and needs to know the latest techniques for gaining maximum information at minimum cost.

Dates:
April 13, 2012 to May 11, 2012April 12, 2013 to May 10, 2013
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Registration:
Please read the syllabus tab, noting the prerequisites, text and software requirements.

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Advanced Design of Experiments

Aim of Course:

This course moves beyond the basic Design of Experiments techniques to cover some special but important topics, including some recent advances. A variety of response surface designs will be covered: single vs. sequential designs, space-filling designs, Draper-Lin designs, and Hoke, hybrid and other small designs. The course will cover conditional effects and how to deal with them, as well as Analysis of Means (ANOM). You'll learn when standard designs won't work, and what to do in those cases.

Prerequisite(s):
Participants should be familiar with basic design of experiments (DOE), such as that covered in an introductory course on the subject, such as statistics.com's Introduction to Design of Experiments course.
Course Program:

SESSION 1: Conditional effects and what to do when standard designs won't work.

• Conditional effects
  • What they are
  • The importance of computing them when interactions exist
  • Designs for which they should and should not be computed
• What to do when standard designs won't work because of:
  • Constraints on the region of operability
    • examples
  • Debarred observations
    • examples

SESSION 2: Analysis of Means (ANOM)

• Advantages of ANOM relative to Analysis of Variance (ANOVA)
• ANOM with single factor, factorial, and fractional factorial designs
• ANOM applied to designs with blocking
• ANOM references, including the new ANOM book by Nelson, Wludyka, and Copeland

SESSION 3: Hard-to-change factors and restricted randomization

• Consequences of ignoring restricted randomization in analyzing data
• Proper analysis of data
• Related issue: Should factors be reset?

SESSION 4: Modern approaches to constructing Response Surface Designs

• Single design versus standard sequential approach
• Uniform and other space-filling designs
• Economical Response Surface designs
  • Draper-Lin designs
  • Other small designs (hybrid, Hoke)
• Published case studies
  • Analysis of a Draper-Lin design application gone wrong

Organization of the Course:

This course takes place over the internet, at statistics.com for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and you will receive individual feedback on your homework answers.

Credit:
Students come to The Institute for a variety of reasons:

1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
2. You may be enrolled in PASS (Program in Advanced Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).

As you begin the class, you will be asked to specify your category.

This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a record of course completion will be issued by Statistics.com, upon request.

Course Text:

Modern Experimental Design by Thomas P. Ryan, available from Wiley. This text can be ordered directly from Wiley by clicking on the previous link. Wiley usually offers a 15% discount to students at statistics.com who order using the previous link.

Software:

Participants should have access to software that can produce experiment designs and analyze the resulting data. Design-Expert will be used throughout the couse. Minitab and JMP are also illustrated, as each has some specific capabilities that will be useful for the course. For information on obtaining software for use during this course click here.

Register Now

Yes, I want to register for:

Advanced Design of Experiments

Instructor(s):
Dates:
April 13, 2012 to May 11, 2012April 12, 2013 to May 10, 2013
Course Fee: $499
Academic Discounted Rate: $399

Before registering, please read the syllabus tab, noting the prerequisites, text and software requirements. When you click the register button, you will be taken to our secure transaction page.

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