On inclusion probabilities and relative estimator bias for Pareto \(\pi\)ps sampling

DOI10.1016/J.JSPI.2003.12.014zbMath1089.62004OpenAlexW1993188794MaRDI QIDQ707068

Nibia Aires, Bengt Rosén

Publication date: 9 February 2005

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2003.12.014

zbMATH Keywords

Estimator biasPareto \(\pi\)psSample inclusion probabilities

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Statistical tables (62Q05)

Related Items (4)

Remarks on some misconceptions about unequal probability sampling without replacement ⋮ Pareto Sampling versus Sampford and Conditional Poisson Sampling ⋮ A guide to the Fortran programs to calculate inclusion probabilities for conditional Poisson sampling and Pareto \(\pi\)ps sampling designs ⋮ Computational aspects of order \(\pi ps\) sampling schemes

Cites Work

• On sampling with probability proportional to size
• Comparisons between conditional Poisson sampling and Pareto \(\pi\)ps sampling designs
• On inclusion probabilities for order \(\pi ps\) sampling.
• Algorithms to find exact inclusion probabilities for conditional Poisson sampling and Pareto \(\pi ps\) sampling designs

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