SAS® Software Companion for Sampling : Design and Analysis, Third Edition (Paperback)

1. Getting Started Windows in SAS Software Reading Data Saving Output Saving Data Sets Missing Data Summary, Tips, and Warnings 2. Simple Random Sampling Selecting a Simple Random Sample Computing Statistics from an SRS Estimating Proportions from an SRS Additional Code for Exercises Summary, Tips, and Warnings 3. Stratified Sampling Selecting a Stratified Random Sample Allocation Methods Additional Helpful Options for Selecting Stratified Samples Drawing a Stratified Sample Without a Population Listing Computing Statistics from a Stratified Random Sample Estimating Proportions from a Stratified Random Sample Additional Code for Exercises Summary, Tips, and Warnings 4. Ratio and Regression Estimation Ratio Estimation Regression Estimation Domain Estimation Poststratification Ratio Estimation with Stratified Sampling Model-Based Ratio and Regression Estimation Summary, Tips, and Warnings 5. Cluster Sampling with Equal Probabilities Estimating Means and Totals from a Cluster Sample One-Stage Cluster Sampling Multi-Stage Cluster Sampling Estimating Proportions from a Cluster Sample Model-Based Design and Analysis for Cluster Samples Additional Code for Exercises Summary, Tips, and Warnings 6. Sampling with Unequal Probabilities Selecting a Sample with Unequal Probabilities Sampling with Replacement Sampling without Replacement Selecting a Two-stage Cluster Sample Computing Estimates from an Unequal-Probability Sample Estimates from with-Replacement Samples Estimates from without-Replacement Samples Summary, Tips, and Warnings 7. Complex Surveys Selecting a Stratified Multistage Sample Estimating Quantiles Computing Estimates from Stratified Multistage Samples Univariate Plots from Complex Surveys Scatterplots from Complex Surveys Additional Code for Exercises Summary, Tips, and Warnings 8. Nonresponse How the Survey Analysis Procedures Treat Missing Data Poststratification and Weighting Class Adjustments Imputation Summary, Tips, and Warnings 9. Variance Estimation in Complex Surveys Linearization (Taylor Series) Methods Replicate Samples and Random Groups Constructing Replicate Weights Balanced Repeated Replication Jackknife Bootstrap Replicate Weights and Nonresponse Adjustments Computing Estimates with Replicate Weights Domain Estimates with Replicate Weights Variance Estimation for Quantiles Summary, Tips, and Warnings 10. Categorical Data Analysis in Complex Surveys Contingency Tables and Odds Ratios Chi-Square Tests Loglinear Models Summary, Tips, and Warnings 11. Regression with Complex Survey Data Straight Line Regression in an SRS Linear Regression for Complex Survey Data Straight Line Regression Using Regression to Compare Domain Means Logistic Regression Logistic Regression in a Simple Random Sample Logistic Regression in a Complex Survey Additional Resources and Code for Exercises Summary, Tips, and Warnings 12. Additional Topics for Survey Data Analysis Two-Phase Sampling Estimating the Size of a Population Ratio Estimation of Population Size Loglinear Models with Multiple Lists Small Area Estimation Evolving Capabilities of SAS Software A Data Set Descriptions B Jackknife Macros B Using Replicate Weights with Non-Survey Procedures B Jackknife for Two-Phase Sampling