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General framework for the rotation of units in repeated survey sampling
Author(s) -
Nedyalkova Desislava,
Qualité Lionel,
Tillé Yves
Publication year - 2009
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/j.1467-9574.2009.00423.x
Subject(s) - compromise , sampling (signal processing) , sampling design , probabilistic logic , sample (material) , population , sample size determination , rotation (mathematics) , mathematics , quality (philosophy) , computer science , control (management) , mathematical optimization , statistics , artificial intelligence , detector , demography , telecommunications , social science , chemistry , philosophy , epistemology , chromatography , sociology
Coordination of probabilistic samples is a challenging theoretical problem faced by statistical institutes. One of their aims is to obtain good estimates for each wave while spreading the response burden across the entire population. There is a collection of existing solutions that try to attend to these needs. These solutions, which were developed independently, are integrated in a general framework and their corresponding longitudinal designs are computed. The properties of these longitudinal designs are discussed. It is also noted that there is an antagonism between a good rotation and control over the cross‐sectional sampling design. A compromise needs to be reached between the quality of the sample coordination, which appears to be optimal for a systematic longitudinal sampling design, and the freedom of choice of the cross‐sectional design. In order to reach such a compromise, an algorithm that uses a new method of longitudinal sampling is proposed.