Ratio-cum-product Type Estimators for Rare and Hidden Clustered Population-Reference-Cited by-同舟云学术

Ratio-cum-product Type Estimators for Rare and Hidden Clustered Population

Published:2022-12-08 Issue:1 Volume:85 Page:33-53
ISSN:0976-8386
Container-title:Sankhya B
language:en
Short-container-title:Sankhya B

Author:

Singh Rajesh,Mishra Rohan^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s13571-022-00298-x.pdf

Reference21 articles.

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2. Chandra, G., Tiwari, N. and Nautiyal, R. (2021). Adaptive cluster sampling-based design for estimating covid-19 cases with random samples. Curr. Sci.113891, 120, 7.

3. Chaudhry, M.S. and Hanif, M. (2015). Regression-cum-exponential ratio estimators in adaptive cluster sampling. Journal of Statistics 22(1).

4. Conners, M.E. and Schwager, S.J. (2002). The use of adaptive cluster sampling for hydroacoustic surveys. ICES J. Mar. Sci. 59, 6, 1314–1325.

5. Correll, R.L. (2001). The use of composite sampling in contaminated sites—a case study. Environ. Ecol. Stat. 8, 3, 185–200.

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