Adaptive Sampling Designs: Inference for Sparse and Clustered Populations - Couverture souple

Seber, George A.F. A. F.

 
9783642336560: Adaptive Sampling Designs: Inference for Sparse and Clustered Populations
Couverture souple
ISBN 10 : 3642336566 ISBN 13 : 9783642336560
Editeur : Springer, 2012

Synopsis

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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À propos de l?auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2012
Langue
anglais
ISBN 10 
3642336566
ISBN 13 
9783642336560
Reliure
Broché
Nombre de pages
80
Coordonnées du fabricant
non disponible
Personne responsable
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