D. R. Smith, J. T. Rogala, B. R. Gray, S. J. Zigler and T. J. Newton, “Evaluation of Single and Two-Stage Adaptive Sampling Designs for Estimation of Density and Abundance of Freshwater Mussels in a Large River,” River Research and Applications, Vol. 27, No. 1, 2011, pp. 122- 133. doi:/10.1002/rra.1334

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.