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Activity Number:
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439
- Topics in Marketing
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Type:
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Contributed
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Date/Time:
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Thursday, August 12, 2021 : 4:00 PM to 5:50 PM
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Sponsor:
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Social Statistics Section
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Abstract #318107
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Title:
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AN UNBIASED REGRESSION TYPE ESTIMATOR OF PROPORTION IN RANDOMIZED RESPONSE SAMPLING BY USING ANOVA MECHANISM
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Author(s):
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Daryan Naatjes* and Stephen A. Sedory and Sarjinder Singh
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Companies:
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Texas A&M University-Kingsville and Texas A&M University-Kingsville and Texas A&M University -Kingsville
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Keywords:
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Randomized Response Techniques;
Sensitive characteristics;
Protection;
Unbiasedness;
Variance
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Abstract:
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In this paper, two new estimators of population proportion of a sensitive characteristic are introduced by using the mechanism of Analysis of Variance (ANOVA). Then a new unbiased regression type estimator is developed by utilizing these two estimators. The proposed estimator is then compared with its competitor at the same protection of the respondents.
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Authors who are presenting talks have a * after their name.
