Adaptive Sampling Designs Inference for Sparse and Clustered Populations /
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...
| Main Authors: | , |
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| Corporate Author: | |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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| Edition: | 1st ed. 2013. |
| Series: | SpringerBriefs in Statistics,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-642-33657-7 |
| Summary: | 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. |
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| Physical Description: | IX, 70 p. online resource. |
| ISBN: | 9783642336577 |
| ISSN: | 2191-544X |