SpringerBriefs in Statistics

Adaptive Sampling Designs

Inference for Sparse and Clustered Populations

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

  • 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
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  • ISBN 978-3-642-33657-7
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About this book

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.

About the authors

George Seber is an Emeritus Professor of Statistics at Auckland University, New Zealand. He is an elected Fellow of the Royal Society of New Zealand and  recipient of their Hector medal in Science. He has authored or coauthored 13 books and 77 research articles on a wide variety of topics including linear and nonlinear models, multivariate analysis, adaptive sampling, genetics, epidemiology, and statistical ecology.

Mohammad Salehi is a Professor of Statistics at Isfahan University of Technology, Iran. Currently, he is also a Professor of Statistics and Director of the Statistical Consulting Unit at Qatar University, Qatar, and has published extensively in the field of adaptive sampling.

Reviews

From the book reviews:

“The book is suitable for a reader interested in adaptive sampling designs and estimators based on thorough mathematical theory.” (Adriana Horníková, Technometrics, Vol. 56 (2), May, 2014)


Table of contents (6 chapters)

  • Basic Ideas

    Seber, George A. F. (et al.)

    Pages 1-10

  • Adaptive Cluster Sampling

    Seber, George A. F. (et al.)

    Pages 11-26

  • Rao-Blackwell Modifications

    Seber, George A. F. (et al.)

    Pages 27-36

  • Primary and Secondary Units

    Seber, George A. F. (et al.)

    Pages 37-47

  • Inverse Sampling Methods

    Seber, George A. F. (et al.)

    Pages 49-60

Buy this book

eBook $29.99
price for USA (gross)
  • ISBN 978-3-642-33657-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $39.95
price for USA
  • ISBN 978-3-642-33656-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Adaptive Sampling Designs
Book Subtitle
Inference for Sparse and Clustered Populations
Authors
Series Title
SpringerBriefs in Statistics
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
The Author(s)
eBook ISBN
978-3-642-33657-7
DOI
10.1007/978-3-642-33657-7
Softcover ISBN
978-3-642-33656-0
Series ISSN
2191-544X
Edition Number
1
Number of Pages
IX, 70
Topics