Features
-
- Accessible to readers with a basic background in probability and statistics
- Covers fundamental concepts of experimental design and cause-effect relationships
- Introduces classical ANOVA models, including contrasts and multiple testing
- Provides an example-based introduction to mixed models
- Features basic concepts of split-plot and incomplete block designs
- R code available for all steps
- Supplementary website with additional resources and updates
Lukas Meier is a senior scientist at the Seminar fur Statistik at ETH Zurich. His main interests are teaching statistics at various levels, the application of statistics in many fields of applications using advanced ANOVA or regression models, and high-dimensional statistics. He co-leads the statistical consulting service at ETH Zurich and is the director of a continuing education program in applied statistics.
Title: ANOVA and Mixed Models: A Short Introduction Using R (Chapman & Hall/CRC The R Series)
Author: Meier, Lukas
ISBN: 9780367704223
Binding:
Publisher: Taylor & Francis Ltd
Publication Date: 2022-11-04
Number of Pages: 187
Weight: 0.4201 kg