Sampling design and sample selection through distribution theory
DOI10.1016/S0378-3758(03)00150-2zbMath1045.62008OpenAlexW2022059722MaRDI QIDQ1877845
Lennart Bondesson, Imbi Traat, Kadri Meister
Publication date: 19 August 2004
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0378-3758(03)00150-2
Markov chain Monte CarloGibbs samplingHypergeometric designConditional Poisson designList-sequential samplingMultinomial designMultivariate Bernoulli designOrder sampling designSampford design
Multivariate distribution of statistics (62H10) Exact distribution theory in statistics (62E15) Sampling theory, sample surveys (62D05)
Related Items (19)
Cites Work
- On sampling with probability proportional to size
- Sampling with unequal probabilities
- Model assisted survey sampling
- Asymptotic theory for order sampling
- Algorithms to find exact inclusion probabilities for conditional Poisson sampling and Pareto \(\pi ps\) sampling designs
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- Development of Sampling Plans by Using Sequential (Item by Item) Selection Techniques and Digital Computers
- A general purpose unequal probability sampling plan
- A Convenient Algorithm for Drawing a Simple Random Sample
- Solutions to the Problem of Unequal Probability Sampling without Replacement
- Unequal probability sampling without replacement through a splitting method
- Weighted finite population sampling to maximize entropy
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