Statistics for Ecology and Conservation Biology
March 5-16, 2012
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Smithsonian-Mason Global Conservation Studies Program
At the Smithsonian Conservation Biology Institute, Front Royal, VA, USA
Visit
<http://conservationtraining.si.edu>http://conservationtraining.si.edu
or contact
<mailto:[email protected]>[email protected] for more information.
Taught by Sven Lautenbach, PhD, Helmholtz
Institute for Environmental Research and George
Mason University, Statistics for Ecology and
Conservation Biology provides an in-depth
introduction to advanced statistical analyses
used in cutting-edge ecological research and
conservation. During this two-week intensive
residential session, through lectures,
discussions, and extensive hands-on computer lab
exercises you will focus on increasing your
knowledge of statistical methods like generalized
linear models and generalized linear mixed
models, the assumptions underlying those methods,
and how to interpret and explain their results.
Learn how to choose appropriate analyses for
different research questions, conduct
sophisticated statistical analyses and deal with
the limitations of real datasets in the context
of conservation science. During every lab
exercise, participants use R, a free software
environment for statistical computing and
graphicsgaining proficiency with R is integral to the course.
Participants should have previously completed
basic statistics coursework or have previous experience with statistics.
Course prices cover instruction, course
materials, meals, lodging, and airport transfer
IAD-Front Royal. Professional training: $2,500
(participants earn 6 continuing education units, CEUs)
Three-credit graduate course: $2,750 for in-state
(Virginia) students/ $3,800.75 out-of-state (3 credits).
For information, and course application forms and
instructions, please contact
<mailto:[email protected]>[email protected]
or see:
<http://nationalzoo.si.edu/SCBI/MAB/GMU/statsecology.cfm>http://nationalzoo.si.edu/SCBI/MAB/GMU/statsecology.cfm
2011 course participant comments:
Sven is a gem. He is an excellent instructor,
patient and gentle superb attributes for those
students in the class that may have anxiety about
math/statistics. He is also amply qualified to
teach this class, with a deep understanding of
statistics, distribution theory, hypothesis
-testing, and application to conservation problems.
Statistics is a very scary subject for me and
after this course I feel incredibly more
comfortable with the topic. . . The combination
of statistical theory with direct application of
the principles using R has been a very powerful
method to crystallize my understanding. The
concentration of the information into this
intensive time-frame provided far more continuity
and flow than the normal classroom setting.