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Activity Number:
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421
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #303803 |
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Title:
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Indirect Sampling in Context of Multiple Frames
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Author(s):
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Manuela Maia*+ and Pierre Lavallée
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Companies:
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Universidade Católica Portuguesa and Statistics Canada
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Address:
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Rua Diogo Botelho,1327, Porto, 4169-005 , Portugal
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Keywords:
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Indirect Sampling ; Generalized Weight Share Method ; Multiple frame surveys
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Abstract:
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Under-coverage is one of the most common problems of sampling frames. To reduce the impact of coverage error on survey estimates several frames can be combined in order to achieve a complete coverage of the target population. Multiple frame estimators have been developed to be used in the context of multiple frame surveys. Sampling frames may overlap which is the case when a single unit of the sampling frame is related with more than one element of the target population. Indirect sampling (Lavallée,1995) is an alternative approach to classical sampling theory in dealing with the overlapping problem of sampling frames on survey estimates. In this paper a new class of estimators is presented which is the result from merging dual frames estimators with indirect sampling estimators in order to bring together in a single estimator the effect of several frames on survey estimates.
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