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Field name	Details
Dewey Class	519.52
Title	Adaptive Sampling Designs ([Ebook]) : Inference for Sparse and Clustered Populations / by George A.F. Seber, Mohammad M. Salehi.
Author	Seber, George A.F. , 1938-
Added Personal Name	Salehi, Mohammad M.
Other name(s)	SpringerLink (Online service)
Publication	Berlin, Heidelberg : Springer
Publication	, 2013.
Physical Details	IX, 70 pages : online resource.
Series	SpringerBriefs in Statistics 2191-544X
ISBN	9783642336577
Summary Note	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.:
Contents note	Basic Ideas -- Adaptive Cluster Sampling -- Rao-Blackwell Modi -- Primary and Secondary Units -- Inverse Sampling Methods -- Adaptive Allocation.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site	http://dx.doi.org/10.1007/978-3-642-33657-7
Links to Related Works	Subject References: Adaptive sampling (Statistics) . Statistics . Statistics for Life Sciences, Medicine, Health Sciences . Statistics, general . Authors: author . Salehi, Mohammad M. . Seber, George A.F. 1938- . Corporate Authors: SpringerLink (Online service) . Series: SpringerBriefs in Statistics . Classification: 519.52 . 519.52 (DDC 23) .

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Adaptive Sampling Designs: Inference for Sparse and Clustered Populations

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