Some estimation procedures for Covid-19 suspected persons in a locality using randomized response model-Reference-Cited by-同舟云学术

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Some estimation procedures for Covid-19 suspected persons in a locality using randomized response model

Published:2024-03-01 Issue:1 Volume:38 Page:
ISSN:0103-0752
Container-title:Brazilian Journal of Probability and Statistics
language:
Short-container-title:Braz. J. Probab. Stat.

Author:

Singh G. N.¹,Bhattacharyya D.²,Bandyopadhyay A.³

Affiliation:

1. Department of Mathematics & Computing, Indian Institute of Technology (Indian School of Mines), Dhanbad-826 004, Jharkhand, India

2. Department of Mathematics, Amrita Vishwa Vidyapeetham Coimbatore Campus, Ettimadai-641112, Tamil Nadu, India

3. Department of Mathematics, Asansol Engineering College, Asansol-713305, India

Publisher

Institute of Mathematical Statistics

Reference15 articles.

1. Warner, S. L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association 60, 63–69.

2. Centers for Disease Control and Prevention (2020). Public health guidance for community-related exposure. U.S. Department of Health and Human Services. Last accessed on 12th November 2020. Available at https://www.cdc.gov/coronavirus/2019-ncov/php/public-health-recommendations.html.

3. Chandra, G., Tiwari, N. and Nautiyal, R. (2021). Adaptive cluster sampling-based design for estimating COVID-19 cases with random samples. Current Science 120, 1202–1210.

4. Dryver, A. L. and Chao, C. T. (2007). Ratio estimators in adaptive cluster sampling. Environmetrics: The official journal of the International Environmetrics Society 18, 607–620.

5. Greenberg, B. G., Abul-Ela, A. L. A., Simmons, W. R. and Horvitz, D. G. (1969). The unrelated question randomized response model: Theoretical framework. Journal of the American Statistical Association 64, 520–539.

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