Adaptive Sampling Designs Inference for Sparse and Clustered Populations
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.
Keywords
MathematicsProbability & StatisticsStochastic ProcessesMedicalBiostatisticsScienceLife SciencesBiology
2012Book
Author(s)G. A. F. Seber, Mohammad M. Salehi
PublisherSpringer Science & Business Media
ISBN9783642336560
LanguageEnglish
