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RSS Webinar on Optimal Design by Peter Goos

Author: Irena Ograjenšek, Last updated 13-Feb-2016 13:16

RSS Journal webinar on ‘Optimal design: getting more out of experiments with hard-to-change factors will take place on Tuesday 1st March at 4pm (GMT), 8am (PST) and 11am (EST). The 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.

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 journalwebinar@rss.org.uk.

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

Chair:              Steven Gilmour, Professor of Statistics at King’s College London

Discussant:    Maria Lanzerath, W. L. Gore & Associates

Journal webinars are sponsored by Quintiles and are free and simple to join.

Visit the RSS website for 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.

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