525 pages, 101 b/w illustrations, 97 tables
Developed from the authors' courses at the University of Copenhagen, this text provides a computational toolbox that enables readers to perform actual analysis on real data sets and gain the confidence and skills to undertake progressively more sophisticated analyses. Though accessible with any statistical software, the text encourages a reliance on R. The authors provide a short tutorial for those new to the software and include R commands and output at the end of each chapter. Data sets are available on a supporting website.
- Description of Samples and Populations
- Linear Regression
- Comparison of Groups
- The Normal Distribution
- Statistical Models, Estimation, and Confidence Intervals
- Hypothesis Tests
- Model Validation and Prediction
- Linear Normal Models
- The Binomial Distribution
- Analysis of Count Data
- Logistic Regression
- Case Exercises
There are currently no reviews for this product. Be the first to review this product!