Dear Allstat
RSS Journal webinar ‘Optimal
design: getting more out of experiments with hard-to-change factors’
Tuesday 1st March at 4pm (GMT), 5pm (CET), 8am (PST) and 11am (EST)
This webinar will be of particular interest to anyone who runs experiments, or advises people who do. Many experiments include some treatment factors whose levels are harder to change than
other factors. Rather than making ad hoc adjustments, a structured approach to designing such experiments, using split-plot designs, is the most informative approach. This webinar will describe optimal design methods for such experiments with application to
engineering.
Presenter:
Peter Goos will present and discuss his paper, co-authored with Bradley Jones,
‘A candidate-set-free algorithm for generating D-optimal
split-plot designs’.
The paper was first published in 2007 in the Royal Statistical Society's Series C Journal (JRSS Series C Vol 56: 3) and is
free to access
Peter Goos is professor at the Faculty of Bio-Science Engineering, University of Leuven and at the Faculty of Applied Economics, University of Antwerp
Slides
of the presentation are now available to download from our website.
Chair: Steven
Gilmour, Professor of Statistics at King’s College London
Discussant: Maria Lanzerath, Industrial Statistician,
W. L. Gore & Associates
An open discussion will follow the presentation by
Peter Goos and will be chaired by Steve Gilmour. Our discussant, Maria Lanzerath, will bring an industry perspective to the discussion in which everyone is encouraged to take part. You can ask the author a question over the phone or simply
issue a message online using the web based teleconference system. Questions can also be emailed
in advance and further information requested from
[log in to unmask].
Full event details can be found in
StatsLife.
Journal webinars are sponsored by
Quintiles
and are free and simple to
join.
Visit the
RSS website
for a copy of the presentation slides, simple dial-in guidelines, a list of local rate numbers for anyone outside the UK and for a web access link.
Those unable to listen in live can listen to the podcast and view slides from the presentation afterwards on the main RSS website.
The recording will also be posted on Youtube.
Judith Shorten
Journals Administrator
The Royal Statistical Society
12 Errol Street, London EC1Y 8LX
Direct dial: (44) 020 7614 3923
The RSS is a registered charity No. 306096