[Forum SIS] July, 6th, ISBIS webinar on "Sequential Design of Experiments and Some New Space-Filling Designs"

[Fabrizio Ruggeri]

ISBIS (International Society 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 15.00 UK 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"

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
-- 
Fabrizio Ruggeri                    fabrizio AT mi.imati.cnr.it
CNR IMATI                           tel +39 0223699532
Via Bassini 15                      fax +39 0223699538
I-20133 Milano (Italy)              www.mi.imati.cnr.it/fabrizio