Adaptive sampling designs : inference for sparse and clustered populations / / George A.F. Seber, Mohammad M. Salehi
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| Autore: |
Seber George A. F
|
| Titolo: |
Adaptive sampling designs : inference for sparse and clustered populations / / George A.F. Seber, Mohammad M. Salehi
|
| Pubblicazione: | Heidelberg, : Springer, 2013 |
| Edizione: | 1st ed. 2013. |
| Descrizione fisica: | 1 online resource (77 p.) |
| Disciplina: | 519.52 |
| Soggetto topico: | Animal populations - Statistical methods |
| Animal populations - Mathematical models | |
| Altri autori: |
SalehiM. 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 |
| 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 |
| Opac: | Controlla la disponibilità qui |
Serie:
SpringerBriefs in Statistics, . 2191-544X