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Statistical Methods for Field and Laboratory Studies in Behavioral Ecology (Hardcover)
Loot Price: R2,905
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Statistical Methods for Field and Laboratory Studies in Behavioral Ecology (Hardcover)
Series: Chapman & Hall/CRC Applied Environmental Statistics
Expected to ship within 12 - 17 working days
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Statistical Methods for Field and Laboratory Studies in Behavioral
Ecology focuses on how statistical methods may be used to make
sense of behavioral ecology and other data. It presents fundamental
concepts in statistical inference and intermediate topics such as
multiple least squares regression and ANOVA. The objective is to
teach students to recognize situations where various statistical
methods should be used, understand the strengths and limitations of
the methods, and to show how they are implemented in R code.
Examples are based on research described in the literature of
behavioral ecology, with data sets and analysis code provided.
Features: This intermediate to advanced statistical methods text
was written with the behavioral ecologist in mind Computer programs
are provided, written in the R language. Datasets are also
provided, mostly based, at least to some degree, on real studies.
Methods and ideas discussed include multiple regression and ANOVA,
logistic and Poisson regression, machine learning and model
identification, time-to-event modeling, time series and stochastic
modeling, game-theoretic modeling, multivariate methods, study
design/sample size, and what to do when things go wrong. It is
assumed that the reader has already had exposure to statistics
through a first introductory course at least, and also has
sufficient knowledge of R. However, some introductory material is
included to aid the less initiated reader. Scott Pardo, Ph.D., is
an accredited professional statistician (PStat (R)) by the American
Statistical Association. Michael Pardo is a Ph.D. is a candidate in
behavioral ecology at Cornell University, specializing in animal
communication and social behavior.
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