TY  - BOOK
AU  - 
AU  - 
ED  - SpringerLink (Online service)
TI  - Adaptive Sampling Designs: Inference for Sparse and Clustered Populations 
T2  - SpringerBriefs in Statistics,
SN  - 9783642336577
AV  - QA276-280 
U1  - 519.5 23
PY  - 2013///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Statistics
KW  - Statistics, general
KW  - Statistics for Life Sciences, Medicine, Health Sciences
N1  - Basic Ideas -- Adaptive Cluster Sampling -- Rao-Blackwell Modi -- Primary and Secondary Units -- Inverse Sampling Methods -- Adaptive Allocation; ZDB-2-SMA
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-642-33657-7
ER  -