Methods and applications
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
An Elementary Survey of Sampling Principles. Biases and Nonsampling Errors in Survey Results. Sample Designs for Some Common Sampling Problems. Simple Random Sampling. Stratified Random Sampling. Simple One-- or Two--Stage Cluster Sampling. Stratified Single or Multi--Stage Cluster Sampling. Control of Variation in Size of Cluster in Estimating Totals, Averages, or Ratios. Multi--Stage Sampling with Large Primary Sampling Units. Estimating Variances. Regression Estimates, Double Sampling, Sampling for Time Series, Systematic Sampling, and Other Sampling Methods. Case Studies--Designs and Results of Some Actual Sample Surveys. Appendix. Index.