A guide to the Fortran programs to calculate inclusion probabilities for conditional Poisson sampling and Pareto \(\pi\)ps sampling designs
type: Item
instance of: scholarly article
title: A guide to the Fortran programs to calculate inclusion probabilities for conditional Poisson sampling and Pareto \(\pi\)ps sampling designs
zbMATH Open document ID: 1068.65019
DOI: 10.1007/BF03372100
author: Nibia Aires
published in: Computational Statistics
publication date: 2005-05-20T00:00:00Z
review text: The author presents an overview of methods, algorithms and Fortran programs to calculate the first and the second order exact inclusion probability for conditional Poisson sampling and Pareto sampling designs (sampling methods with fixed sample size and with inclusion probabilities proportional to a given size measures). The proposed algorithms of computing the inclusion probabilities are introduced and documented, guidelines are provided for their use as well as as examples and the programs codes are commented.
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62D05
Mathematics Subject Classification ID: 65Y15
zbMATH DE Number: 2169413
zbMATH Keywords: sampling theory
zbMATH Keywords: conditional Poisson sampling
zbMATH Keywords: Pareto sampling
zbMATH Keywords: numerical integration
zbMATH Keywords: Fortran procedures
zbMATH Keywords: algorithms
MaRDI profile type: Publication
cites work: Algorithms to find exact inclusion probabilities for conditional Poisson sampling and Pareto \(\pi ps\) sampling designs
cites work: Comparisons between conditional Poisson sampling and Pareto \(\pi\)ps sampling designs
cites work: On inclusion probabilities and relative estimator bias for Pareto \(\pi\)ps sampling
cites work: Asymptotic Theory of Rejective Sampling with Varying Probabilities from a Finite Population
cites work: Asymptotic theory for order sampling
cites work: On sampling with probability proportional to size
full work available at URL: https://doi.org/10.1007/bf03372100
OpenAlex ID: W217067409
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description: scientific article; zbMATH DE number 2169413