Network and Adaptive Sampling

Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities t...

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Bibliographic Details
Main Author Chaudhuri, Arijit
Format eBook Book
LanguageEnglish
Published Boca Raton CRC Press 2015
Taylor & Francis Group
Edition1
Subjects
Adaptive sampling (Statistics)
MATHEMATICS / Probability & Statistics / General
Simple Random Sample
Adaptive Sampling
Empirical Bayes Estimator
estimators
simple
Edge Unit
Stage Units
Male Female Total
random
measures
Average Coverage Probability
Unbiased Estimator
Vp
Normed Size Measures
normed
Conditional Expectation
Observation Units
observation
Selection Unit
National Sample Survey Office
Hth Stratum
Pre-assigned Probability
unit
Randomized Response Technique
size
selection
unbiased
Generalized Regression Estimators
Network Sampling
Initial Unit
Gth Group
Simple Random
Observational Units
Asymptotic Design
Sij Sij
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Summary:Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities through linked auxiliaries. The text also explores
Bibliography:Includes bibliographical references and index
ISBN:9781466577565
1466577568
DOI:10.1201/b15675