Adaptive Sampling Designs

(0) Erste Bewertung abgeben
CHF 78.00
Auslieferung erfolgt in der Regel innert 2 bis 4 Werktagen.
Kartonierter Einband

Beschreibung

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.



Brief, but presents the methods' salient features

Surveys the field, cross-linking it to other research

Useful for those interested in conducting research in the field



Autorentext

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.



Inhalt
Basic Ideas.- Adaptive Cluster Sampling.- Rao-Blackwell Modi.- Primary and Secondary Units.- Inverse Sampling Methods.- Adaptive Allocation.

Mehr anzeigen

Produktinformationen

Titel
Adaptive Sampling Designs
Untertitel
Inference for Sparse and Clustered Populations
Autor
EAN
9783642336560
ISBN
3642336566
Format
Kartonierter Einband
Herausgeber
Springer Berlin Heidelberg
Genre
Mathematik
Anzahl Seiten
80
Gewicht
137g
Größe
H235mm x B155mm x T4mm
Jahr
2012
Untertitel
Englisch
Mehr anzeigen