The aim of this course is to impart knowledge about survey sampling techniques and its applications. This course deals with the response, response error and response variance. Concepts of sampling and non-sampling error, observational error, incomplete sampling effects and problem of non-response are briefly entertained. The course provides mathematical and conceptual formation of survey modeling strategies especially for stratified random sampling and cluster sampling. Course also concerned with the both categorical and regression analysis in complex surveys and effects of survey design on regression analysis.


Learning Outcomes

At the completion of course, the student will be able to

  • Understand and explicate the importance of Sampling.
  • Understand various sampling designs and techniques.
  • Design and conduct surveys (small and large scale) for estimation.
  • Introduce new sampling techniques, designs as well as estimators for different situations.  ​


Recommended Books


  1. Mukhopadhyay, P. (2005). Theory and Methods of Survey Sampling. Prentice-Hall of India.
  2. Cochran, W.G. (1996). Sampling Techniques. John Wiley and Sons, New York.

Sessional: 20

Assignment: 10

Presentation: 10

Mid Term Test: 30 

Final Exam: 50

Time Table: Monday 2:00 - 5:00pm



                       Topics and Readings

1 - 2

Concept of Sampling, Simple Random Sampling

3 - 4

Stratified Random Sampling and Systematic Random Sampling

5 - 6

Single stage cluster sampling

7 - 8

Multistage cluster sampling

9 - 10

Ratio and regression estimators

11- 12

Sampling with probabilities proportional to size with and without replacement

13 - 14

Design and model based Sampling inferences

15 - 16

Non-Response: History, Consequences, Remedies and some estimators.  


Course Material