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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...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Seber, George A.F (Auteur), Salehi, Mohammad M. (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Édition:1st ed. 2013.
Collection:SpringerBriefs in Statistics,
Sujets:
Accès en ligne:Texto Completo

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