Advanced Theory of Sample Surveys

This is an advanced course in the theory of sample surveys that aims at describing some advanced level topics for students who wish to pursue research in Sampling Techniques. This course prepares students for undertaking research in this area. This also helps prepare students for applications of this important subject to agricultural statistics.

 

 

  • Design effect. Number of strata and optimum stratification. Controlled selection. Two way stratification, collapsed strata.

   

  • Unbiased ratio and regression type estimators, multivariate ratio and regression methods of estimation. Adaptive sampling, Ranked set sampling. Systematic sampling in two dimensions.

 

  • Multistage sampling with unequal probabilities. Self weighting designs. Integration of surveys - Lahiri and Keyfitz’s procedures.

 

  • Variance estimation in complex surveys. Taylor’s series linearisation, Balanced repeated replication, Jackknife and bootstrap methods.

 

  • Use of software for survey data analysis.

 

Unbiased ratio and regression type estimators, Multivariate ratio and regression methods of estimation. Ranked set sampling. Systematic sampling in two dimensions. Softwares for survey data analysis.