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Statistics | Adaptive Sampling Designs - Inference for Sparse and Clustered Populations

Adaptive Sampling Designs

Inference for Sparse and Clustered Populations

Seber, George A.F., Salehi, Mohammad M.

2013, IX, 70 p.

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  • Brief, but presents the methods’ salient features
  • Surveys the field, cross-linking it to other research
  • Useful for those interested in conducting research in the  field

This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling information obtained to date. The sample adapts to new information as it comes in. These methods are especially used for sparse and clustered populations.
Written by two acknowledged experts in the field of adaptive sampling.

Content Level » Research

Keywords » Adaptive allocation - Adaptive sampling - Inverse sampling - Sampling rare - Sparse and clustered populations - Stratified adaptive sampling - Two-stage sampling

Related subjects » Life Sciences, Medicine & Health - Statistics

Table of contents 

​Basic Ideas.- Adaptive Cluster Sampling.- Rao-Blackwell Modi.- Primary and Secondary Units.- Inverse Sampling Methods.- Adaptive Allocation.

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