Asymptotic normality for two-stage sampling from a finite population

DOI10.1007/BF00340058zbMath0661.62007OpenAlexW1977792067MaRDI QIDQ1113228

Esbjörn Ohlsson

Publication date: 1989

Published in: Probability Theory and Related Fields (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00340058

zbMATH Keywords

finite populationmartingale central limit theoremtwo-stage samplingestimators of the population totalgeneral conditions for asymptotic normalitymulti-stage procedures

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) Sampling theory, sample surveys (62D05)

Related Items (6)

Reconciling design-based and model-based causal inferences for split-plot experiments ⋮ On Fitting Transformation Model to Survey Data ⋮ Asymptotic normality for two-stage sampling from a finite population ⋮ Coupling methods for multistage sampling ⋮ Causal Inference With Interference and Noncompliance in Two-Stage Randomized Experiments ⋮ Introduction to Sampling Techniques

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• Successive sampling in large finite populations
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• Some limit theorems with applications in sampling theory
• Some Extensions of the Wald-Wolfowitz-Noether Theorem
• Limit Theorems for an Extended Coupon Collector's Problem and for Successive Subsampling with Varying Probabilites^*
• Asymptotic Theory of Rejective Sampling with Varying Probabilities from a Finite Population
• On the central limit theorem for a class of sampling procedures
• Asymptotic Theory for Successive Sampling with Varying Probabilities Without Replacement, I

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