Overview
- 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
Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)
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Table of contents (6 chapters)
Keywords
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.
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)
Authors and Affiliations
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.
Bibliographic Information
Book Title: Adaptive Sampling Designs
Book Subtitle: Inference for Sparse and Clustered Populations
Authors: George A.F. Seber, Mohammad M. Salehi
Series Title: SpringerBriefs in Statistics
DOI: https://doi.org/10.1007/978-3-642-33657-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s) 2013
Softcover ISBN: 978-3-642-33656-0Published: 23 October 2012
eBook ISBN: 978-3-642-33657-7Published: 22 October 2012
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: IX, 70
Topics: Statistics, general, Statistics for Life Sciences, Medicine, Health Sciences