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Journal of Statistical Computation and Simulation Volume 76, 2006 - Issue 9
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Original Articles

Conventional bootstrap and normal confidence interval estimation under adaptive cluster sampling

Timothy D. Perez Department of Statistics, Kansas State University, Manhattan, KS, 66502-0802, USA
&
Jeffrey S. Pontius Department of Statistics, Kansas State University, Manhattan, KS, 66502-0802, USACorrespondence[email protected]
Pages 755-764 | Received 10 Sep 2004, Published online: 16 Aug 2006

Citations (5)

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Read on this site (1)

Sanghamitra Pal & Dipika Patra. (2023) Modifications on re-scaling bootstrap for adaptive sampling. Communications in Statistics - Simulation and Computation 52:4, pages 1607-1620.
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Articles from other publishers (4)

Mohammad Mohammadi, Mohammad Salehi & J. N. K. Rao. (2013) Bootstrap confidence intervals for adaptive cluster sampling design based on Horvitz–Thompson type estimators. Environmental and Ecological Statistics 21:2, pages 351-371.
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Steven K. Thompson. (2012) Adaptive web sampling in ecology. Statistical Methods & Applications 22:1, pages 33-43.
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George A.F. Seber & Mohammad M. SalehiGeorge A. F. Seber & Mohammad M. Salehi. 2013. Adaptive Sampling Designs. Adaptive Sampling Designs 11 26 .
Mohammad Salehi, Mohammad Mohammadi, J. N. K. Rao & Yves G. Berger. (2008) Empirical likelihood confidence intervals for adaptive cluster sampling. Environmental and Ecological Statistics 17:1, pages 111-123.
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