Abstract
An environmentalist or ecologist often comes across a population that is rare and clustered. The information is completely available on some auxiliary variable which is inexpensive and easy to obtain. On the basis of the domain knowledge about the situation, it is known that the auxiliary variable and the variable of interest have a high negative correlation.
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References
Muttlak, H.A., Khan, A.: Adjusted two stage adaptive cluster sampling. Environ. Ecol. Stat. 9(1), 111–120 (2002)
Robinson, P.M., Särndal, C.E.: Asymptotic properties of the generalized regression estimator in probability sampling. Sankhya B45, 240–248 (1983)
Salehi, M.M., Seber, G.A.F.: Adaptive cluster sampling with networks selected without replacement. Biometrika 84, 209–219 (1997a)
Salehi, M.M., Seber, G.A.F.: Two stage adaptive cluster sampling. Biometrics 53, 959–970 (1997b)
Särndal, C.E., Swensson, B., Wretman, J.: Model Assisted Survey Sampling. Springer Inc, New York (1992)
Thompson, S.K.: Adaptive cluster sampling. J. Am. Stat. Assoc. 85(412), 1050–1058 (1990)
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Latpate, R., Kshirsagar, J., Kumar Gupta, V., Chandra, G. (2021). Two-Stage Negative Adaptive Cluster Sampling. In: Advanced Sampling Methods. Springer, Singapore. https://doi.org/10.1007/978-981-16-0622-9_18
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DOI: https://doi.org/10.1007/978-981-16-0622-9_18
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