[brodgar]A few things
Highland Statistics Ltd.
brodgar@lists.highstat.com
Sun, 30 Apr 2006 17:40:27 +0100
Dear Brodgar users,
A few things:
1. The good news is that our book "Analysis of ecological data" by
Zuur, Ieno and Smith is now finished and it "only" takes 6 months to
publish. All the statistical background of the methods in Brodgar can
be found in this book.
2. The book also has 3 spatial chapters with techniques like
variograms, kriging and GAM models with spatial correlations. We will
add them over the Summer to Brodgar and you will be able to download
and use the updates.
3. Two open courses will be organised in 2007 and registration for
Brodgar users is now open. You will have priority with reserving
places, but don't wait too long. The first course is on GLM and GAM.
The second course is on mixed modelling, GLS, GLMM and GAMM. The
double M is not a mistake! These methods (GLMM and GAMM) can be used
to analyse time series and spatial data. So..this is GAM for time
series or spatial data. GLS allows for different variance components.
The GLMM is for time series or nested data. We expect that this
course will be very popular because (i) most data sets require this
type of analysis and (ii) no other GLMM/GAMM courses design for
biologists are around. All these methods will also be added to
Brodgar during the Summer.
Full info can be found at: http://www.brodgar.com/statscourse.htm
Kind regards,
Alain Zuur
Dr. Alain F. Zuur
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
Our statistics courses:
1. "Analysing biological and environmental data using univariate and
multivariate methods".
2. "Analysing biological and environmental data using univariate methods"
3. "Analysing biological and environmental data using multivariate
analysis and multivariate time series analysis"
4. "An introduction to R"
Brodgar: Software for univariate and multivariate analysis and
multivariate time series analysis
Brodgar complies with R GNU GPL license
Statistical consultancy, courses, data analysis and software