Adaptive Sampling Designs Inference for Sparse and Clustered Populations /

• Main Authors: Seber, George A.F (Author), Salehi, Mohammad M. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: SpringerBriefs in Statistics,
• Subjects: Statistics.; Statistics, general.; Statistics for Life Sciences, Medicine, Health Sciences.

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 spar...

Table of Contents:

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