Environmental and Ecological Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding readers through the process of scientific problem solving and statistical model development, it eases the transition from scientific hypothesis to statistical mode
Environmental and Ecological Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding readers through the process of scientific problem solving and statistical model development, it eases the transition from scientific hypothesis to statistical mode
Song S. Qian, PhD, is an assistant professor in the Department of Environmental Sciences at the University of Toledo, Ohio, USA
Inhaltsangabe
I Basic Concepts Introduction A Crash Course on R Statistical Assumptions Statistical Inference II Statistical Modeling Linear Models Nonlinear Models Classi cation and Regression Tree Generalized Linear Model III Advanced Statistical Modeling Simulation for Model Checking and Statistical Inference Multilevel Regression Using Simulation for Evaluating Models Based on Statistical Signicance Testing Bibliography
I Basic Concepts Introduction A Crash Course on R Statistical Assumptions Statistical Inference II Statistical Modeling Linear Models Nonlinear Models Classi cation and Regression Tree Generalized Linear Model III Advanced Statistical Modeling Simulation for Model Checking and Statistical Inference Multilevel Regression Using Simulation for Evaluating Models Based on Statistical Signicance Testing Bibliography
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