Course Details
Subject {L-T-P / C} : MA6622 : Sampling Techniques with Applications { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Prof. Manas Ranjan Tripathy
Syllabus
Basic concept of sample surveys: Census and sample surveys, Advantages and disadvantages, Probability and non-probability sampling, Sampling unit, Sampling frame, Sampling and non-sampling error, Simple random sampling and Stratified random sampling: Procedure for selecting a random sample, Estimation of population parameters, Estimation of population Proportion, Confidence limits, Estimation of sample size, Principle of stratification, Advantages of stratification, Estimation of population mean and variance, Allocation of sample size in different strata, Relative precision of stratified random sampling over simple random sampling, Estimation of gain in precision due to stratification, Systematic random sampling: Sample selection procedure, Advantages and disadvantages, Estimation mean and its sampling variance, Comparison of simple random sampling with stratified random sampling in some specified populations, Cluster sampling: Equal cluster sampling, Estimator of mean and its variance, Relative efficiency of cluster sampling, Optimum cluster size, Cluster sampling for proportions.
Course Objectives
- Students will learn various sampling procedures which may be useful for inference and other statistical problems
Course Outcomes
The student will be equipped with sound knowledge of sampling methods for analyzing real life data sets, which arise in various areas of study.
Essential Reading
- R.K.Som, Practical Sampling Techniques, CRC Press, 1995.
- William Gemmell Cochran, Sampling Techniques, Wiley
Supplementary Reading
- S.K. Thompson, Sampling, John Wiley
- S.K. Thompson, Sampling, John Wiley