Statistical methods for field and laboratory studies in behavioral ecology
AUTHOR : Pardo, Scott A.
CALL NO : QH541 P226s 2018
IMPRINT : Boca Raton, Fla. : CRC Press, c2018
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.
- 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.