April 22 �
26, 2013
Millbrook, NY
INSTRUCTOR:�
Dr. Charles D. Canham, email: canhamc@caryinstitute.org
The
Cary Institute of Ecosystem Studies will offer an intensive one-week course in
the use of likelihood methods in ecology from April 22nd � 26th,
2013.�� The methods provide a powerful
tool for linking models and data, and provide a flexible alternative to traditional,
parametric statistical analyses.� Labs
will be based on use of the R statistical computing package.�
Location
and fees: The
course will be taught on the campus of the Cary Institute, in Millbrook, New
York (roughly 90 miles north of New York City).�
The $750 course fee includes housing during the course in Institute
housing.� Students will be responsible
for their travel expenses and meals.�
Course fees must be submitted by April 1, 2013.�� Details on how to submit the fees will be
sent after initial registration.
����������� Course description: The goal
of the course is to introduce students to the concepts and methods of use of
likelihood and information theory in data analysis and statistical
modeling.� The labs will focus on the use
of software tools in R that allow the students to construct their own analyses
and models.� Most of the examples used in
the course will be drawn from forest ecology.�
Course
Website:
More
information can be found at http://www.sortie-nd.org/lme/lme.html
����������� Target audience and prerequisites:� The course is intended for graduate students,
post-docs, and practicing scientists.� An
undergraduate or graduate level background in statistics is desired, but the
course will teach the basic principles of probability theory required for the
methods.� Students will need to be
familiar with R.��� For novices, there
are many tutorials online to provide a basic introduction to R � these should
be completed before the start of the class.
����������� Registration and class size:� Class size will be limited to 16
students.� To register, send an e-mail
to Charles Canham at canhamc@caryinstitute.org containing your name, mailing
address, e-mail address, phone number and a brief statement of your research
interests.� Please put �2013 Likelihood Course
Registration� in the subject line of the message.�
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