Edmonton course: Data exploration, regression, GLM & GAM with intro to R
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: highstat at highstat.com URL: www.highstat.com