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Design of Multi‐Stage Surveys for the Estimation of Sampling Errors
Author(s) -
Durbin J.
Publication year - 1967
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2985777
Subject(s) - sampling (signal processing) , variance (accounting) , computer science , relation (database) , sampling design , reliability (semiconductor) , statistics , sample (material) , selection (genetic algorithm) , point estimation , estimation , sample size determination , cluster sampling , scale (ratio) , data mining , mathematics , engineering , machine learning , population , systems engineering , filter (signal processing) , computer vision , business , chemistry , sociology , power (physics) , accounting , chromatography , quantum mechanics , physics , demography
Summary A method is described for the selection of two sampling units without replacement with probability of inclusion proportional to size. Procedures are discussed for the estimation of sampling variances when the method is used for the selection of first‐stage units in multi‐stage sampling. An alternative and simpler approximate method is also discussed.