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Authors
Affiliations
1 Division of Forestry Statistics, Indian Council of Forestry Research and Education, Dehradun 248 006, IN
2 Department of Statistics, Kumaun University, SSJ Campus, Almora 263 601, IN
Source
Current Science, Vol 120, No 7 (2021), Pagination: 1202-1210
Abstract
During the COVID-19 pandemic, testing of all persons except those who are symptomatic, is not feasible due to shortage of facilities and staff. This article focuses on estimating the number of COVID-19-positive persons over a geographical domain. The Horvitz–Thompson and Hansen–Hurwitz type estimators under adaptive cluster sampling-based design have been suggested. Two case studies are discussed to demonstrate the performance of the estimators under certain assumptions. Advantages and limitations are also mentioned.
Keywords
Adaptive Cluster Sampling, COVID-19, Pandemic, Precise Estimation, Random Samples.
Full Text
References
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