Details for: Adaptive sampling designs , inference for sparse and clustered populations

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Adaptive sampling designs [Documento electrónico] : inference for sparse and clustered populations / George A. F. Seber, Mohammad M. Salehi

Main Author: Seber, George A.F.Coauthor: co-aut., Salehi, Mohammad M.Language: eng.Country: Germany.Publication: Berlin, Heidelberg : Springer Berlin Heidelberg, 2013Description: IX, 70 p.ISBN: 978-3-642-33657-7.Series: SpringerBriefs in StatisticsSubject - Topical Name: 5389Online Resources:Click here to access online

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
E-Books	Biblioteca NOVA FCT Online	Não Ficção	QA276.6.SPR FCT 82602 (Browse shelf(Opens below))	1	Available

Colocação: Online

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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