Statistical Priniciples for the Design of Experiments
Date:
01/09/2014
Organised by:
Royal Statistical Society
Presenter:
Steve Gilmour
Level:
Intermediate (some prior knowledge)
Contact:
Paul Gentry, 020 7614 3918, conference@rss.org.uk
Map:
View in Google Maps (S1 2JA)
Venue:
Sheffield City Hall, Barker's Pool, Sheffield, South Yorkshire
Description:
The statistical principles for designing experiments are well-established and have helped experimenters to gain the most from their experiments for many years. As experiments become more complex and the quantity of data obtained from them increases, these principles need to be applied in new settings. In this course, the fundamental principles will be reviewed and a range of modern methodologies introduced, with the emphasis on how they relate back to the statistical principles.
After reviewing the fundamental ideas of replication, randomization, treatment structure (including factorial, nonlinear and response surface designs) and unit structure (including blocking and multiple strata), we will move on to more complex, modern, experimental structures. These include complexity in the treatment structure, in the unit structure and in the observed responses.
A good understanding of the use of linear models and some awareness of the basic techniques of design of experiments will be assumed.
Cost:
£168-£408 depending on membership status and date of registration
Website and registration:
Region:
Yorkshire and Humberside
Keywords:
Frameworks for Research and Research Designs, Frameworks for Research and Research Designs (other)
Related publications and presentations:
Frameworks for Research and Research Designs
Frameworks for Research and Research Designs (other)