ISBIS (International Sociaty for Business and Industrial Statistics)
is organising a series of webinars on "Leading Women in Business and
Industrial Statistics" to celebrate the International Year of Women in
Statistics and Data Science launched in May 2020 by ISI (International
Statistical Institute).
Videos of past events are available at
https://www.isbis-isi.org/webinars.html
The seventh webinar is on July, 6th, at 16.00 CEST (i.e. Italy, Germany,
France, Spain, etc.) and 10.00 a.m. (New York time) and the speaker is
Dr. Christine M. Anderson-Cook (Guest Scientist, Los Alamos National
Laboratory, USA)
and she will talk about
"Sequential Design of Experiments and Some New Space-Filling Designs"
Registration is free at
https://register.gotowebinar.com/register/6069922525034089741
ABSTRACT
In many data collection scenarios, we have choices about whether to run a
single large experiment or a sequence of smaller experiments. Traditionally
design of experiments textbooks provide many ideas and samples of good single
large experiments, but experimenters frequently do not have the tools they
need for determining how to proceed with sequential designs. This talk
describes some advantages of collecting data in increments, a sequence of
common objectives for early through late sub-experiments, and how to use the
results from previous stages to inform design choices for later ones. This
approach can help to avoid wasting valuable resources, maximize what can be
learned and allow for multiple objectives to be addressed. In addition,
several new types of space filling designs to use as building blocks for
constructing the right sequence of sub-experiments are presented:
(1) Non-uniform Space Filling (NUSF) designs allow for some regions of the
input space to be emphasized more than others, and (2) Input-Response Space
Filling (IRSF) designs create a Pareto front of choices that vary in how
much they emphasize the space filling properties for the input space versus
the response space.
ABOUT THE SPEAKER
Christine M. Anderson-Cook recently retired as a Research Scientist in the
Statistical Sciences Group at Los Alamos National Laboratory. She was a
contributor to more than 80 projects while at LANL and has led projects in
the areas of nuclear non-proliferation, sequential design of experiments for
carbon capture, cybersecurity, complex system reliability and using data
competitions to advance algorithms for detecting radioactive materials.
Before joining LANL, she was a faculty member in the statistics department
at Virginia Tech. Her research areas include design of experiments, response
surface methodology, reliability, multiple criterion optimization and
data-centric decision-making.
She is a Fellow of the American Statistics Association and the American
Society for Quality. She has served on the Editorial boards of Applied
Stochastic Models in Business and Industry (the ISBIS journal), Technometrics,
the Journal of Quality Technology, Quality and Reliability Engineering
International, Quality Engineering and the Journal of Statistics Education.
She is a long time Statistics Spotlight column contributor in Quality
Progress. She is the 2021 recipient of the George Box Medal and the Gerald
J. Hahn Q&P Achievement Award. She was also the 2018 recipient of the ASQ
Shewhart Medal and winner of the ASQ Statistics Division William G. Hunter
Award.
Best regards
Fabrizio Ruggeri
ISBIS President
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Fabrizio Ruggeri
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