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Ecological models and data in R [Monograph]Companion website
Bolker, B.M. \ cop. 2008
mathematical models - statistics - programming - computer software - stochastic models - maximum likelihood - statistical analysis - dynamic models - ecology - textbooks - modeling

This textbook provides a practical introduction to modern statistical methods for ecology. In step-by-step detail, it teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R The book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. It requires no programming background; only basic calculus and statistics.


Used in course: CSA-34306 Ecological Modelling and Data Analysis in R
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