Due to high demand, we decided to run another mixed effects modelling
course.
Mixed effects modelling course, 3 - 5 February 2010. Newburgh, UK
When: Wednesday 3 February until Friday 5 February 2009
Where: Conference room in the White Horse Inn. Balmedie (5 miles north
of Aberdeen, 10 miles from Aberdeen airport).
Program: Wednesday: Generalised least squares to deal with heterogeneity
in linear regression and additive models. Thursday and Friday: Mixed
effects models to deal with 1-way and 2-way nested data. We will cover
Chapters 4 and 5 and various case study chapters from Zuur et al.
(2009). Mixed effects models and extensions in ecology with R.
Costs: 500 GBP + VAT
Course participants will get a special rate on hotel rooms in the White
Horse Inn.
The course fee includes tea/coffee in the morning and afternoon, and a
light lunch (sandwiches + soup). The course fee does not include a copy
of the book, and no photocopies will be provided. Hence, you need to buy
the book before the course, or we can provide a book for 45 GBP.
Pre-required knowledge: Linear regression (as in Appendix A from Zuur et
al (2009) or Chapter 5 in Zuur et al (2007). Basic R skills. Additive
modelling (as in Chapter 7 of Zuur et al. 2007).
Course times: 09.15 - 17.00
This is a non-technical course.
Further info: www.highstat.com
--
Dr. Alain F. Zuur
First author of:
1. Analysing Ecological Data (2007).
Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p.
URL: www.springer.com/0-387-45967-7
2. Mixed effects models and extensions in ecology with R. (2009).
Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer.
http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9
3. A Beginner's Guide to R (2009).
Zuur, AF, Ieno, EN, Meesters, EHWG. Springer
http://www.springer.com/statistics/computational/book/978-0-387-93836-3
Other books: http://www.highstat.com/books.htm
Statistical consultancy, courses, data analysis and software
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Tel: 0044 1358 788177
Email: highs...@highstat.com
URL: www.highstat.com
URL: www.brodgar.com
