Logo - springer
Slogan - springer

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.

Available Formats:

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.


(net) price for USA

ISBN 978-3-642-33657-7

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase

learn more about Springer eBooks

add to marked items


Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.


(net) price for USA

ISBN 978-3-642-33656-0

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days

add to marked items

  • 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.

Popular Content within this publication 



Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Statistics (general).