A. L. Dryver and C. T. Chao, “Ratio Estimators in Adaptive Cluster Sampling,” Environmetrics, Vol. 18, No. 6, 2007, pp. 607-620. doi:10.1002/env.838
has been cited by the following article:
TITLE: Efficiency of Two-Stage Adaptive Cluster Sampling Design in Estimating Fringe-Eared Oryx
AUTHORS: Jesse Wachira Mwangi, Mohamed Esha Salim
KEYWORDS: Non-Overlapping Scheme; Cluster Sampling; Horvitz-Thompson Estimator
JOURNAL NAME: Open Journal of Statistics, Vol.2 No.5, December 13, 2012
ABSTRACT: Two-stage adaptive cluster sampling and two-stage conventional sampling designs were used to estimate population total of Fringe-Eared Oryx that are clustered and sparsely distributed. The study region was Amboseli-West Kilimanjaro and Magadi-Natron cross boarder landscape between Kenya and Tanzania. The study region was partitioned into different primary sampling units with different secondary sampling units that were of different sizes. Results show that two-stage adaptive cluster sampling design is efficient compared to simple random sampling and the conventional two- stage sampling design. The design is less variable compared to the conventional two-stage sampling design.