17658 - Sampling Methods

Academic Year 2026/2027

  • Teaching Mode: In-person learning (entirely or partially)
  • Campus: Rimini
  • Corso: First cycle degree programme (L) in Statistics, Finance and Insurance (cod. 5901)

Learning outcomes

By the end of the course the Student will be able to plan sample surveys with basic sampling designs.


Course contents

Inference in finite and infinite populations.

Design based inference.

Simple random sampling with and without replacement. Sample size estimation.

Use of auxiliary information at the design stage:
- stratified sampling;
- unequal probability sampling.

Use of auxiliary information at the estimation stage:
- quotient estimator;
- regression estimator;
- calibration estimator.

Readings/Bibliography

Sharon Lohr, “Sampling: design and analysis”, Pacific Grove, Duxbury press, 1999.
Some additional readings will be indicated during the course.

Teaching methods

Each topic covered in the lectures will be followed by exercises in practical classes.


Assessment methods

Written test and a optional oral examination

Students with specific learning disorders (SLD) or temporary or permanent disabilities are encouraged to contact the University's dedicated support office in good time (https://site.unibo.it/studenti-con-disabilita-e-dsa/en ). The office will propose any appropriate accommodations for eligible students. These accommodations must be submitted to the course instructor for approval at least 15 days in advance. The instructor will assess their appropriateness, taking into account the intended learning outcomes of the course.

The use of AI tools is prohibited in all assessments. Any use of AI tools constitutes a breach of academic integrity.


Teaching tools

Slides and R scripts available on Virtuale.


Office hours

See the website of Fedele Pasquale Greco