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2021 | OriginalPaper | Chapter

13. Inverse Adaptive Cluster Sampling

Authors : Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra

Published in: Advanced Sampling Methods

Publisher: Springer Singapore

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Abstract

When the population under study is homogeneous with respect to the characteristic of interest then the traditional method such as SRSWR/SRSWOR can be used to estimate the population parameters. But if the population under study is rare and clustered then the use of these sampling methods may lead to poor estimates of the population parameters. Since the population is rare, the sample drawn may not include the desired proportion of units satisfying the condition of interest.

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previous chapter Adaptive Cluster Double Sampling
next chapter Two-Stage Inverse Adaptive Cluster Sampling
Literature
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Metadata
Title
Inverse Adaptive Cluster Sampling
Authors
Raosaheb Latpate
Jayant Kshirsagar
Vinod Kumar Gupta
Girish Chandra
Copyright Year
2021
Publisher
Springer Singapore
Book
Advanced Sampling Methods

Print ISBN: 978-981-16-0621-2

Electronic ISBN: 978-981-16-0622-9

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-16-0622-9_13

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