Physical and Engineering Sciences
Short Courses Lined Up for JSM, FTC
Tena Katsaounis of The Ohio State University, SPES Education Chair
I
f you are going to the Joint Statistical applications in product reliability and Two-Level Experimentation. The aim of
Meetings this year, mark your calendar materials evaluation. The analyses illus- this workshop is to equip practitioners
for the following short courses. Details trate the use of a mix of proven tradition- with the ability to select and analyze frac-
about the courses are posted at www. al techniques, enhanced and brought tional factorial designs more knowledge-
amstat.org/sections/spes and www.amstat. up to date with modern computer- ably. Orthogonal array designs that are
org/meetings/jsm/2009. based methodology. not regular fractional factorials will receive
particular emphasis. The importance of
Monte Carlo and Bayesian 53rd Annual FTC Short Course
run order restrictions will be explained,
Computation with R
If you are going to FTC this year, mark
including blocking, split-unit, and
Instructors: Jim Albert and Maria Rizzo,
your calendar for the SPES-sponsored
trend-free designs.
Bowling Green State University short course by Robert Mee, profes- Mee has served on the Journal of
This course will describe the use of the sor of statistics at the University of
Quality Technology (JQT) editorial
statistical system R in Monte Carlo
Tennessee. He is offering a one-day
review board and as associate editor for
experiments, simulation-based inference,
workshop in experimental design,
Technometrics. He is an ASA Fellow and
and Bayesian computation.
titled “Expanding Your Factorial Two-
received the 2004 Lloyd Nelson award,
Methods for Designing and
Level Experimentation Toolset,” on
which recognizes the year’s best JQT arti-
October 10. The workshop will pro-
cle for practitioners.
Analyzing Mixture Experiments
vide an introduction to the new book
For information about registration,
Instructors: John A. Cornell, emeritus
A Comprehensive Guide to Factorial
visit
www.amstat.org/sections/spes. ■
professor of statistics, and Greg F. Piepel,
Battelle, PNNL
This course is designed for statisticians
and nonstatisticians wanting to know
about statistical methods for design-
ing mixture experiments and analyzing
the resulting data. Prerequisites are an
understanding of basic statistics con-
cepts and previous exposure to experi-
mental design and regression.
Tolerance Intervals: Theory,
Applications, and Computation
Instructors: Thomas Mathew, University
of Maryland, and K. Krishnamoorthy,
University of Louisiana at Lafayette
The purpose of this course is to present
the state of the art on the tolerance inter-
val problem; explain computational pro-
cedures; and describe various applications
in the physical, engineering and envi-
ronmental sciences, quality control, and
industrial hygiene.
Experiences and Pitfalls in
Reliability Data Analysis and Test
Planning
Instructor: William Q. Meeker,
Iowa State University
This course will present and discuss
the analyses of many life data analysis
MAY 2009 AMSTAT NEWS 57
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