Course: Data exploration, regression, GLM & GAM with introduction to R

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Course: Data exploration, regression, GLM & GAM with introduction to R

Alain Zuur

We would like to announce the following statistics course:

Course: Data exploration, regression, GLM & GAM with introduction to R

Where:  Lisbon, Portugal

When:   13-17 February 2017

Course website: http://www.highstat.com/statscourse.htm

Course flyer: http://highstat.com/Courses/Flyers/Flyer2017_02Lisbon_RGG.pdf


Kind regards,

Alain Zuur


Other open courses in 2017:

9-13 January 2017: Data exploration, regression, GLM & GAM

20-24 February 2017: Introduction to Regression Models with Spatial and
Temporal Correlatio

9-13 October 2017: Linear Mixed Effects Models and GLMM with R.
Frequentist and Bayesian approaches



--
Dr. Alain F. Zuur

First author of:
1. Beginner's Guide to GAMM with R (2014).
2. Beginner's Guide to GLM and GLMM with R (2013).
3. Beginner's Guide to GAM with R (2012).
4. Zero Inflated Models and GLMM with R (2012).
5. A Beginner's Guide to R (2009).
6. Mixed effects models and extensions in ecology with R (2009).
7. Analysing Ecological Data (2007).

Highland Statistics Ltd.
9 St Clair Wynd
UK - AB41 6DZ Newburgh
Tel:   0044 1358 788177
Email: [hidden email]
URL:   www.highstat.com

_______________________________________________
R-sig-ecology mailing list
[hidden email]
https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
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: highstat@highstat.com
URL: www.highstat.com
URL: www.brodgar.com