Frames2: A Package for Estimation in Dual Frame Surveys
نویسندگان
چکیده
منابع مشابه
Frames2: A Package for Estimation in Dual Frame Surveys
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 the...
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Dual frame surveys, in which independent samples are selected from two frames to decrease survey costs or to improve coverage, can present challenges for regression coefficient estimation because of complex designs and unknown degree of overlap. In this research, we developed four regression coefficient estimators in dual frame surveys. Simulation results show that all the proposed methods work...
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Survey statisticians make use of the available auxiliary information to improve estimates. One important example is given by calibration estimation, that seeks for new weights that are close (in some sense) to the basic design weights and that, at the same time, match benchmark constraints on available auxiliary information. Recently, multiple frame surveys have gained much attention and became...
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In order to obtain better coverage of the population of interest and cost less, a number of surveys employ dual frame structure, in which independent samples are taken from two overlapping sampling frames. This research considers chi-squared tests in dual frame surveys when categorical data is encountered. We extend generalized Wald’s (1943) test, Rao-Scott first-order and second-order correcte...
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Estimation from multiframe survey data is essentially a problem of combining domain estimates such that the new auxiliary information (for key study variables, z) obtained from several estimates for overlapping domains is used in addition to the usual auxiliary information for sociodemographic and geographic variables (x) used in poststratification. A natural approach is to use optimal regressi...
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ژورنال
عنوان ژورنال: The R Journal
سال: 2015
ISSN: 2073-4859
DOI: 10.32614/rj-2015-005