84609 - METODI DI CAMPIONAMENTO

Learning outcomes

At the end of the course the student knows how to manage complex sampling plans. She/he will be able to plan complex surveys and to analyze data with advanced statistical tools, to assess and communicate the uncertainty on the obtained estimates.

 

Course contents

Sampling in finite populations. Population and sample. Sampling plans and the random variables that manage the selection.

Finite populations and descriptive inference. Analytical inference and finite populations.

Inference in complex units (cluster sampling). Role of the intraclass correlation coefficient in cluster sampling.

The role of auxiliary variables for leaving simple random sampling.

Inference for complex units selected with varying probability.

Ratio and regression adjustment in sampling complex units. Approximated properties of ratio and regression estimators seen with respect to residuals.

Multistage sampling.

Small area estimation (also in logical domains)

Finite population inference as a predictive problem and superpopulation models.

Non probability samples.

Readings/Bibliography

A syllabus with most of the topics of the course can be downloaded. It contains the topic of the corese and many examples and exercises.

Also a file containing the main formulae to use for solving exercise may be downloaded.

Further references will be given during the course.

Teaching methods

lectures

Assessment methods

The final test is made of two parts. In the written test, some exercises have to be solved. The length of the test may vary from 90 to 120 minutes, according to the characteristics of the questions. The students may consult the available file containing the most important formulae .

The oral test will start from the discussion of the written part.

Teaching tools

A file containing the most important formulae can be downloaded

Office hours

See the website of Daniela Cocchi