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Activity Number:
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37
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Type:
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Contributed
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Date/Time:
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Sunday, August 6, 2006 : 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 - #305711 |
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Title:
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A Generalized Forced Quantitative Randomized Response Model
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Author(s):
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Oluseun Odumade*+ and Sarjinder Singh
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Companies:
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St. Cloud State University and St. Cloud State University
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Address:
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Department of Statistics, St Cloud, MN, 56301,
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Keywords:
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randomized response sampling ; estimation of population total ; sensitive quantitative variable
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Abstract:
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A generalized forced quantitative randomized response (GFQRR) model for estimating the population total of a sensitive quantitative variable is proposed. The properties of the proposed estimator of the population total are studied under a unified approach. The models, due to Eichhorn and Hayre (1983); Bar-Lev, Bobovitch, Boukai (2004); Liu and Chow (1976a, 1976b); Stem and Steinhorst (1984); and Gjestvang and Singh (2005) are shown as special cases of the proposed GFQRR model. The performance of the proposed GFQRR model has been demonstrated with numerical illustrations.
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