Conventional bootstrap and normal confidence interval estimation under adaptive cluster sampling
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Publication:5485074
DOI10.1080/10629360500109002zbMath1111.62009OpenAlexW1972876167MaRDI QIDQ5485074
Jeffrey S. Pontius, Timothy D. Perez
Publication date: 28 August 2006
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10629360500109002
Sampling theory, sample surveys (62D05) Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09)
Related Items (2)
Cites Work
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- Asymptotic normality and the bootstrap in stratified sampling
- Comparing three bootstrap methods for survey data
- A Resampling Procedure for Complex Survey Data
- Bootstrap Methods for Finite Populations
- Bootstrap Confidence Intervals for Adaptive Cluster Sampling
- A Generalization of Sampling Without Replacement From a Finite Universe
- On the Theory of Sampling from Finite Populations
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