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



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Autore: Seber George A.F Visualizza persona
Titolo: Adaptive sampling designs : inference for sparse and clustered populations / / by George A.F. Seber, Mohammad M. Salehi Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Edizione: 1st ed. 2013.
Descrizione fisica: 1 online resource (77 p.)
Disciplina: 519.52
Soggetto topico: Statistics 
Statistics, general
Statistics for Life Sciences, Medicine, Health Sciences
Persona (resp. second.): SalehiMohammad M
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Basic Ideas -- Adaptive Cluster Sampling -- Rao-Blackwell Modi -- Primary and Secondary Units -- Inverse Sampling Methods -- Adaptive Allocation.
Sommario/riassunto: 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.
Titolo autorizzato: Adaptive Sampling Designs  Visualizza cluster
ISBN: 1-283-90827-1
3-642-33657-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910438139603321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in Statistics, . 2191-544X