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Adaptive Sampling Designs: Inference for Sparse and Clustered Populations
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Catalogue Information
Nome campo
dettagli
Dewey Class
519.52
Titolo
Adaptive Sampling Designs ([Ebook]) : Inference for Sparse and Clustered Populations / by George A.F. Seber, Mohammad M. Salehi.
Autore
Seber, George A.F. , 1938-
Added Personal Name
Salehi, Mohammad M.
Other name(s)
SpringerLink (Online service)
Pubblicazione
Berlin, Heidelberg : Springer
, 2013.
Physical Details
IX, 70 pages : online resource.
Serie
SpringerBriefs in Statistics
2191-544X
ISBN
9783642336577
Summary Note
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.:
Contents note
Basic Ideas -- Adaptive Cluster Sampling -- Rao-Blackwell Modi -- Primary and Secondary Units -- Inverse Sampling Methods -- Adaptive Allocation.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-3-642-33657-7
Link alle Opere Legate
Riferimenti soggetto:
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Adaptive sampling (Statistics)
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Statistics
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Statistics for Life Sciences, Medicine, Health Sciences
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Statistics, general
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Authors:
author
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Salehi, Mohammad M.
.
Seber, George A.F. 1938-
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Corporate Authors:
SpringerLink (Online service)
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Series:
SpringerBriefs in Statistics
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Classification:
519.52
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519.52 (DDC 23)
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