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Ecological Models and Data in R is the first actually smart introduction to modern statistical methods for ecology. In step-by-step factor, the book teaches ecology graduate school college students and researchers the whole thing they need to know in order to utilize most chance, information-theoretic, and Bayesian strategies to analysis their very personal data using the programming language R. Drawing on in depth experience educating these strategies to graduate school college students in ecology, Benjamin Bolker reveals the right way to determine on amongst and assemble statistical fashions for data, estimate their parameters and confidence limits, and interpret the outcomes. The book moreover covers statistical frameworks, the philosophy of statistical modeling, and essential mathematical options and probability distributions. It requires no programming background–solely main calculus and statistics.
Smart, beginner-nice introduction to modern statistical strategies for ecology using the programming language R
Step-by-step instructions for turning into fashions to messy, precise-world data
Balanced view of varied statistical approaches
In depth protection of strategies–from straightforward (distribution turning into) to difficult (state-space modeling)
Strategies for data manipulation and graphical present
Companion Internet site with data and R code for all examples
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