01747nam a2200157   4500008004100000020001500041245003600056210003600092250000800128260003700136520132400173653001201497653001101509100002501520856004401545       2008                        eng d  a069112522800aEcological Models and Data in R0 aEcological Models and Data in R  a508  bPrinceton University PresscJuly3 a\_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 all examples10aecology10amodels1 aBolker, Benjamin, M.  uhttp://www.worldcat.org/isbn/0691125228