A guide to the Fortran programs to calculate inclusion probabilities for conditional Poisson sampling and Pareto \(\pi\)ps sampling designs

DOI10.1007/BF03372100zbMath1068.65019OpenAlexW217067409MaRDI QIDQ1775964

Nibia Aires

Publication date: 20 May 2005

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf03372100

zbMATH Keywords

algorithmsnumerical integrationsampling theoryconditional Poisson samplingPareto samplingFortran procedures

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Sampling theory, sample surveys (62D05) Packaged methods for numerical algorithms (65Y15)

Related Items

An adaptive algorithm for estimating inclusion probabilities and performing the Horvitz-Thompson criterion in complex designs, Pareto Sampling versus Sampford and Conditional Poisson Sampling

Cites Work

• On sampling with probability proportional to size
• On inclusion probabilities and relative estimator bias for Pareto \(\pi\)ps sampling
• Asymptotic theory for order sampling
• Comparisons between conditional Poisson sampling and Pareto \(\pi\)ps sampling designs
• Algorithms to find exact inclusion probabilities for conditional Poisson sampling and Pareto \(\pi ps\) sampling designs
• Asymptotic Theory of Rejective Sampling with Varying Probabilities from a Finite Population