MH4511 SAMPLING & SURVEY

1. Probability Sampling a Types of Probability Samples b Simple Random Sampling c Estimation of Population Mean, Proportion and Total d Sample Size Estimation e Systematic Sampling 2. Stratified Sampling a Theory of Stratified Sampling b Sampling Weights c Estimation of Population Mean, Proportion and Total d Allocating Observations to Strata e Sample Size Estimation f Defining Strata g Post-stratification 3. Ratio and Regression Estimations a Ratio Estimation b Regression Estimation c Selecting the Sample Size d Relative Efficiency of Estimators 4. Cluster Sampling a One-Stage and Two-Stage Cluster Samplings b Estimation of Population Mean, Proportion and Total c Selecting the Sample Size d Cluster Sampling with Probability Proportional to Size 5. Sampling with Unequal Probabilities a One-Stage Sampling with Replacement b Two-Stage Sampling with Replacement c Unequal-Probability Sampling without Replacement 6. Nonresponse a Effects of Ignoring Nonresponse b Call backs and Two-Phase Sampling c Weighting Methods for Nonresponse d Imputation

Prerequisites Tree