Apologies for cross-posting
We would like to announce the following statistics course in Edmonton,
Canada.
Course: Data exploration, regression, GLM & GAM with introduction to R
Where: NAIT main campus, Edmonton, Alberta, Canada
When: 8-22 September 2017
Course website: http://www.highstat.com/statscourse.htm
Course flyer:
http://highstat.com/Courses/Flyers/2017/Flyer2017_10Edmonton_RGG.pdf
Kind regards,
Alain Zuur
Other open courses in 2017 & 2018:
Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian
approaches. 9-13 October 2017. Trondheim, Norway.
Introduction to Regression Models with Spatial and Temporal Correlation.
23-27 October 2017. Southampton, UK
Introduction to Regression Models with Spatial and Temporal Correlation.
4-8 December 2017. Banff, Canada.
Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian
approaches. 8-12 January 2018. Halifax, Canada.
Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian
approaches. 22-26 January 2018. Edmonton, Canada.
Data exploration, regression, GLM & GAM with introduction to R. 12-16
February 2018. Madeira, Portugal.
Linear Mixed Effects Models and GLMM with R. Frequentist approaches.
19-23 February 2018. Lisbon, Portugal.
Data exploration, regression, GLM & GAM with introduction to R. 12-16
February 2018. Sardinia, Italy.
--
Dr. Alain F. Zuur
Author of:
1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data
Analysis with R-INLA. (2017).
2. Beginner's Guide to Zero-Inflated Models with R (2016).
3. Beginner's Guide to Data Exploration and Visualisation with R (2015).
4. Beginner's Guide to GAMM with R (2014).
5. Beginner's Guide to GLM and GLMM with R (2013).
6. Beginner's Guide to GAM with R (2012).
7. Zero Inflated Models and GLMM with R (2012).
8. A Beginner's Guide to R (2009).
9. Mixed effects models and extensions in ecology with R (2009).
10. Analysing Ecological Data (2007).
Highland Statistics Ltd.
9 St Clair Wynd
UK - AB41 6DZ Newburgh
Tel: 0044 1358 788177
Email: highs...@highstat.com
URL: www.highstat.com
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