Statistical Sampling Theory (Course code 0413)

Purpose

To familiarize participants with sampling methods and their application.

Benefits to the Participants

Participants will gain an understanding of the Statistical Sampling Theory. Consideration will be given to the application of the theory in the context of sampling survey.

Target Population

Employees who develop and implement complex sampling plans during the course of their work and wish to get an advanced knowledge of sampling theory.

Course Outline

• Inclusion, probabilities, sampling frames, units
• Simple random sampling with and without replacement
• Sample size considerations
• Principles of stratification and post-stratification
• Linear and circular systematic sampling
• Sampling with unequal probabilities and probability proportional to size
• Cluster sampling
• Multiphase and multistage sampling
• Replicated sampling
• Estimation.

Prerequisite

Advanced knowledge of mathematical statistics and basic knowledge in sampling theory.

It is very important to note that the course duration has been extended to three months at the rate of one session per week so to give enough time to participants to study all the material covered during the course and to be prepared for each session. One could not insist enough on the importance of this preparation on the part of the participants in order to get all the benefits of the course.

Duration: 5 days (1/2 day per week during 10 weeks)