Abstract
Adaptive cluster sampling has been proven to perform well in a univariate setting, but it may not perform well when there are several parameters of interest. The efficiency of adaptive sampling when there are several variables of interest depends on the relationship of the variables with one another.
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References
Salehi, M.M. (1998) Adaptive cluster sampling, Ph.D. Thesis, University of Auckland.
Smith, D.R., Conroy, M.J., and Brakhage, D.H. (1995) Efficiency of adaptive cluster sampling for estimating density of wintering waterfowl. Biometrics, 51, 777-88.
Thompson, S.K. (1990) Adaptive cluster sampling. Journal of the American Statistical Association, 85, 1050-9.
Thompson, S.K. (1992) Sampling, Wiley, New York.
Thompson, S.K. and Seber, G.A.F. (1996) Adaptive Sampling, Wiley, New York.
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Dryver, A.L. Performance of adaptive cluster sampling estimators in a multivariate setting. Environmental and Ecological Statistics 10, 107–113 (2003). https://doi.org/10.1023/A:1021937508414
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DOI: https://doi.org/10.1023/A:1021937508414