Academic Year 2021-2022

STATISTICS 1

Teachers

Luigi Pace
Unit Credits
6
Teaching Period
First Period
Course Type
Supplementary
Prerequisites. Probability, Calculus, Linear Algebra.
Teaching Methods. Frontal lectures.
Verification of Learning. Written and oral examination.
Objectives
The student is expected to be able to use statistical methods to analyze data arising mainly in scientific and technological contests and to communicate her/his findings both in technical and non-technical language.
Contents
The course is an introduction to statistical modeling and inference. Specific contents:

review of univariate distributions and density functions; statistical models and parametric families; statistics and their statistical model; sufficient statistics; generalities on point estimation, confidence regions and hypothesis testing; normal models with i.i.d. observations; estimation methods; sampling properties of estimators; prior distributions and Bayesian estimation.

Texts
Pace L. e Salvan A., Introduzione alla Statistica – II. Inferenza, Verosimiglianza, Modelli, CEDAM, Padova, 2001.