Browse Hierarchy MTH7019P: Survey Sampling

Back to EM-MATH-MATH: School of Mathematical Sciences
- The module will commence with an overview of the basic principles of sampling, types of surveys, their applications, and the importance of representative samples and sources of bias in surveys. - The following lessons will cover Simple Random sampling, Stratified sampling, Cluster Sampling, and Systematic Sampling - The rest of the module will focus on diagnostics for the efficacy of the techniques above, particularly covering Sampling Bias, Sampling Error, Estimation, Weighting, and Adjustment. The delivery will be centered around realistic cases and the use of R (potentially presenting Python syntax as a complement).

Sorry, there are no lists here yet. You could try:

  • Clicking My Lists from the menu. Your course enrolled lists are stored here.
  • Searching for the list using the form below:

Lists linked to Survey Sampling

There are currently no lists linked to this Module.