Adaptive Sampling Designs / SpringerBriefs in Statistics (PDF)
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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.
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.
- Autoren: George A. F. Seber , Mohammad M. Salehi
- 2012, 2013, 70 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3642336574
- ISBN-13: 9783642336577
- Erscheinungsdatum: 22.10.2012
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 1.08 MB
- Ohne Kopierschutz
- Vorlesefunktion
“The book is suitable for a reader interested in adaptive sampling designs and estimators based on thorough mathematical theory.” (Adriana Horníková, Technometrics, Vol. 56 (2), May, 2014)
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