An Efficient Poisson-Distributed Adaptive Cluster Sampling Model Using Randomized Response Strategy
No Thumbnail Available
Date
2024-08
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IIETA
Abstract
The key innovation lies in the incorporation of an adaptive cluster sampling strategy and a
randomized response model based on the Poisson distribution. This integration aims to
overcome shortcomings inherent in conventional models, providing a more robust
framework for research area. In this paper, an adaptive cluster sampling randomized
response model with Poisson distribution using a randomized response strategy was
proposed. The proposed cluster randomized response model has improved efficiency and a
large gain in precision. Conditions were obtained under which the proposed model is more
efficient than the existing models. To validate the effectiveness of our approach, numerical
computations were conducted, offering concrete illustrations of the model's performance.
The results underscore the significant gains in efficiency and precision achieved by the
proposed adaptive cluster sampling randomized response model.