Environmental and Ecological Statistics With R

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 model.

List of contents

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

About the author

Song S. Qian, PhD, is an assistant professor in the Department of Environmental Sciences at the University of Toledo, Ohio, USA

Summary

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 model.

Product details

• Authors: Song S. Qian, Song S. (The University of Toledo Qian, Qian Song S.
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 07.11.2016
• EAN: 9781498728720
• ISBN: 978-1-4987-2872-0
• No. of pages: 560
• Series: Chapman & Hall/CRC Applied Environmental Statistics
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, TECHNOLOGY & ENGINEERING / Environmental / General, The environment, environmental science, engineering & technology, Science / Environmental Science, Probability & statistics, Probability and statistics, Environmental science, engineering and technology