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Home  >  Volume 22 (2012)

Adaptive Cluster Sampling – A Review by Okafor F. C. Volume 22 (November, 2012), pp 225 – 232
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Abstract

Efficiency of random sampling for rare and spatial clustered populations is usually improved by either increasing the sample size or plot size in area sampling or both. Recently Thompson (1990) introduced a sampling method, called adaptive cluster sampling, which gives more precise estimate of parameters of rare events. In adaptive cluster sampling, in addition to the initial sample units, further units are canvassed depending on whether or not the required event is found in the initial sample unit or its neighbourhood. In this paper, our main aim is to introduce this method and to give a brief review of some research works in the area.

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