This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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593
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Type:
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Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #308253 |
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Title:
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Probabilistic Approach to Editing
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Author(s):
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Maiki Ilves*+
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Companies:
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Örebro University
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Address:
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Swedish Business School at Örebro University, Örebro, 701 82, Sweden
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Keywords:
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measurement error ;
two-phase sampling design ;
bias estimation
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Abstract:
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Editing all inconsistent data records is time consuming and costly. To save resources, alternative editing methods are sought by survey practitioners. In this paper, an editing procedure where the responses are selected for editing through Poisson sampling according to their impact to final estimates is proposed. Probabilistic approach gives simple tools known from sampling theory to describe the effect of editing on the survey estimates. A two-phase design approach is applied for bias estimation, and a bias corrected generalized regression (GREG) estimator and an estimator of its variance are presented. The effectiveness of the proposed editing procedure is illustrated using empirical data from Statistics Sweden.
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