6.2 Multi-level linear regression: variance in change.6.1 The Human Factor: Intercept random effects.5.5 Doing the rollercoaster: polynomial regression models.5.4.5 Conditional effects and design theory.5.4.3 Saturation: hitting the boundaries.5.4.2 Conditional multifactorial models.5.3 Line-by-line: grouped regression models.5.1 On surface: multiple regression models.4.1.3 Working with the posterior distribution.4.1.1 Do the random walk: Markov Chain Monte Carlo sampling.4.1 Quantification at work: grand mean models. 3.5.2 Distributions: shapes of randomness.3.4.4 Bayesian and frequentist probability.
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