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
General
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