STATISTICS 1

Academic Year 2022-2023

Teachers

Luigi Pace

Unit Credits

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.

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.

Pace L., Salvan A., Sartori, N., Statistical Inference: Theory and Methods, 2023 (in preparation)

Academic Year 2022-2023

STATISTICS 1

Luigi Pace

Unit Credits

Teaching Period

Course Type

Objectives

Contents

Texts

CONTATTI

INTERNATIONAL COORDINATES

LINK UTILI