ENGLISH

Adaptive Sampling Designs: Inference for Sparse and Clustered Populations

By George A.F. Seber , Mohammad M. Salehi (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2013
ISBN
978-3-642-33656-0, 978-3-642-33657-7
DOI
10.1007/978-3-642-33657-7
Language
english
Format
PDF
Filesize
754 kB (772092 bytes)
Series
SpringerBriefs in Statistics
Edition
1
Pages
70\77
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
general; Statistics for Life SciencesHealth SciencesMedicineStatistics

Description

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.

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