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Efficiency of Two-Stage Adaptive Cluster Sampling Design in Estimating Fringe-Eared Oryx
Mathematics Department, Faculty of Science, Egerton University, Njoro, Kenya
Mathematics Department, Faculty of Science, Egerton University, Njoro, Kenya
- 1 Mathematics Department, Faculty of Science, Egerton University, Njoro, Kenya
- 2 Mathematics Department, Faculty of Science, Egerton University, Njoro, Kenya
Open Journal of Statistics·Volume 02 (2012)·Pages 474–477·Published 13 December 2012·DOI10.4236/ojs.2012.25060
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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.
KeywordsNon-Overlapping SchemeCluster SamplingHorvitz-Thompson Estimator
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