Description
Taylor and Francis Ltd Statistics in Natural Resources 1st Edition 2022 Hardbound by Russell, Matthew
Develop analytical and visualization skills for investigating the behavior of agricultural and natural resources data.Become competent in importing, analyzing, and visualizing complex data sets in the R environment.Recode, combine, and restructure data sets for statistical analysis and visualization.Appreciate probability concepts as they apply to environmental problems.Understand common distributions used in statistical applications and inference.Summarize data effectively and efficiently for reporting purposes.Learn the tasks required to perform a variety of statistical hypothesis tests and interpret their results.Understand which modeling frameworks are appropriate for your data and how to interpret predictions.Includes over 130 exercises in R, with solutions available on the book's website. 1 Visualizing Data 2 Summary statistics and distributions 3 Probability 4 Hypothesis tests for means and variances 5 Inference for counts and proportions 6 Inference for two-way tables 7 Sample size and statistical power 8 Linear regression 9 Multiple regression 10 Analysis of variance 11 Analysis of covariance 12 Logistic regression 13 Count regression 14 Linear mixed models 15 Communicating statistical results with visualizations