1949/09/01 by M. H. Quenouille · 3 citations
Mathematics · Computer Science · Environmental Science · #Advanced Statistical Methods and Models #Bayesian Methods and Mixture Models #Soil Geostatistics and Mapping #Stratified sampling #Systematic sampling #Mathematics #Sampling (signal processing) #Sampling design #Statistics #Poisson sampling #Slice sampling #Dimension (graph theory) #Population #Importance sampling #Computer science #Monte Carlo method
paper · pdf · doi:10.1214/aoms/1177729989
openalex publication_date 1949/09/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/11
After consideration of the relative accuracies of systematic and stratified random sampling in one dimension the problem of estimation of linear sampling error is discussed. Methods of sampling an area are proposed, and expressions for the accuracies of these methods are derived. These expressions are compared for large samples, with special reference to correlation functions which appear to be theoretically and practically justified, and systematic sampling is found to be more accurate than stratified random sampling in many cases. Methods of estimating sampling errors are again considered, and examples given. The paper concludes with some remarks on the problem of trend in the population sampled.