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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/37091

Title: Frames2: A Package for Estimation in Dual Frame Surveys
Authors: Arcos Cebrián, Antonio
Molina, David
Ranalli, Maria Govanna
Rueda García, María del Mar
Issue Date: 2015
Abstract: Data from complex survey designs require special consideration with regard to estimation of finite population parameters and corresponding variance estimation procedures, as a consequence of significant departures from the simple random sampling assumption. In the past decade a number of statistical software packages have been developed to facilitate the analysis of complex survey data. All these statistical software packages are able to treat samples selected from one sampling frame containing all population units. Dual frame surveys are very useful when it is not possible to guarantee a complete coverage of the target population and may result in considerable cost savings over a single frame design with comparable precision. There are several estimators available in the statistical literature but no existing software covers dual frame estimation procedures. This gap is now filled by package Frames2. In this paper we highlight the main features of the package. The package includes the main estimators in dual frame surveys and also provides interval confidence estimation.
Publisher: Technische Universitaet Wien. Institut fuer Statistik und Wahrscheinlichkeitstheorie
Keywords: Estimation in Dual Frame
Estimation of finite population parameters
URI: http://hdl.handle.net/10481/37091
ISSN: 2073-4859
Citation: Arcos, A.; et al. Frames2: A Package for Estimation in Dual Frame Surveys. The R Journal, 7(1): 52-72 (2015). [http://hdl.handle.net/10481/37091]
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