Single- and More-Stage Cluster Sampling

  • Pieter G. de Vries


The sampling methods we have discussed till now all have in common that from a population of N (resp. Nh) units, n (resp. nh) units are selected randomly and independently. For instance, n plots were selected from a forest area that consists of N plots. Now, under difficult field conditions as may be encountered e.g. in mountainous areas or in tropical forests, this method of sample selection may turn out very costly because of the long travelling distances and the necessity of frequently establishing new camps. In such instances another sampling technique, known as Two-Stage Cluster Sampling or shortly Two-Stage Sampling, often is preferred. The design then is as follows.


Forest Area Unbiased Estimator Open Cluster Basic Cluster National Forest Inventory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1986

Authors and Affiliations

  • Pieter G. de Vries
    • 1
  1. 1.Dept. of Forest ManagementWageningen Agricultural University, “Hinkeloord”WageningenThe Netherlands

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