Successive sampling in large finite populations

DOI10.1214/aos/1176346175zbMath0521.62008OpenAlexW2018995418MaRDI QIDQ1055100

Louis Gordon

Publication date: 1983

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176346175

zbMATH Keywords

asymptotic normalitylarge finite populationsNoether conditionuniform cost successive samplingvariable cost successive sampling

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (14)

Maximum likelihood estimation for incomplete multinomial data via the weaver algorithm ⋮ Properties of Successive Sample Moment Estimators ⋮ Local central limit theorems, the high-order correlations of rejective sampling and logistic likelihood asymptotics ⋮ Asymptotic normality for two-stage sampling from a finite population ⋮ Ranked set sampling, coherent rankings and size-biased permutations ⋮ Weighted sampling without replacement ⋮ Successive sampling and software reliability ⋮ Size-biased permutation of a finite sequence with independent and identically distributed terms ⋮ Coupling methods for multistage sampling ⋮ Regenerative random permutations of integers ⋮ A combinatorial analysis of interacting diffusions ⋮ Quantile estimation under successive sampling ⋮ Mean Estimation Under Successive Sampling with Calibration Estimators ⋮ Estimating quantiles under sampling on two occasions with arbitrary sample designs

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