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A guide to the Fortran programs to calculate inclusion probabilities for conditional Poisson sampling and Pareto pi ps sampling designs
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
2004 (English)In: Computational statistics (Zeitschrift), ISSN 0943-4062, E-ISSN 1613-9658, Vol. 19, no 3, p. 337-345Article in journal (Refereed) Published
Abstract [en]

Conditional Poisson Sampling and Pareto pips Sampling designs are sampling methods with fixed sample size and with inclusion probabilities proportional to given size measures.. Algorithms were introduced to calculate first and second exact inclusion probabilities for both schemes. Methods were also provided to adjust the parameters to get predetermined inclusion probabilities. In this paper, the Fortran procedures are introduced and documented. Moreover, guidelines are provided for their use as well as examples and the programs codes commented.

Place, publisher, year, edition, pages
Heidelberg: Physica Verlag, 2004. Vol. 19, no 3, p. 337-345
Keywords [en]
sampling theory, Conditional Poisson Sampling, Pareto 7 pi ps Sampling, numerical integration, algorithms, asymptotic theory
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hh:diva-3334ISI: 000223752800001Scopus ID: 2-s2.0-4544271545OAI: oai:DiVA.org:hh-3334DiVA, id: diva2:281306
Available from: 2009-12-15 Created: 2009-12-01 Last updated: 2018-03-23Bibliographically approved

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