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Specific contents: review of bivariate and multivariate distributions and density functions;
linear regression models;
simple examples of tests of hypotheses, null and alternative hypotheses, critical regions, size, power, type I and type II errors, Neyman–Pearson lemma; uniformly most powerful tests;
significance level; relation with confidence regions; likelihood-based frequentist inference procedures; their first-order asymptotic theory; higher-order resuls; stimating equations.
Salvan, A., Sartori, N., Pace, L., Modelli Lineari Generalizzati, Springer-Verlag Italia, Milano, 2020.
Pace, L., Salvan A., Sartori N., Statistical Inference: Theory and Methods, 2023 (in preparation)
