DESCRIPTION OF COURSES
AS 565 SAMPLING TECHNIQUES (3L+1P) II
This course is meant to expose the students to the techniques of drawing representative samples from various populations and then preparing them on the mathematical formulations of estimating the population parameters based on the sample data. The students would also be exposed to the real life applications of sampling techniques and estimation of parameters.
Probability sampling, simple random sampling, estimation of proportions, confidence interval, determination of sample size, inverse sampling. Sampling with varying probabilities with replacement. Stratified sampling.
Ratio, difference and regression estimators. Cluster sampling, multi - stage sampling with equal probability, systematic sampling, double sampling, successive sampling.
Non-sampling errors: sources and classification, non-response survey techniques, imputation methods, measurement errors, repeated measurement techniques, interpenetrating sub-sampling.
Determination of sample size and selection of sample. Simple random sampling, stratified random sampling, cluster sampling, systematic sampling. Estimation using Ratio and regression methods. Double sampling, multi-stage sampling.