ECOLOGICAL MODELS AND DATA IN R

Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology In step by step detail the book 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 Drawing on extensive experience teaching these techniques to graduate students in ecology Benjamin Bolker shows how to choose among and construct statistical models for data estimate their parameters and confidence limits and interpret the results 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 Practical beginner friendly introduction to modern statistical techniques for ecology using the programming language R Step by step instructions for fitting models to messy real world data Balanced view of different statistical approaches Wide coverage of techniques from simple distribution fitting to complex state space modeling Techniques for data manipulation and graphical display Companion Web site with data and R code for