A01=Arijit Chaudhuri
Adaptive Sampling
advanced sampling theory
Age Group_Uncategorized
Age Group_Uncategorized
Asymptotic Design
Author_Arijit Chaudhuri
automatic-update
Average Coverage Probability
Category1=Non-Fiction
Category=JMB
Category=KCH
Category=KCHS
Category=PBT
Conditional Expectation
COP=United States
Delivery_Delivery within 10-20 working days
Edge Unit
Empirical Bayes Estimator
eq_bestseller
eq_business-finance-law
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
estimators
finite population sampling
Generalized Regression Estimators
Gth Group
Hth Stratum
Initial Unit
Language_English
Male Female Total
measures
National Sample Survey Office
network and adaptive sampling applications
Network Sampling
normed
Normed Size Measures
observation
Observation Units
Observational Units
PA=Available
population inference techniques
Pre-assigned Probability
Price_€100 and above
PS=Active
random
Randomized Response Technique
rare population estimation
selection
Selection Unit
Sij Sij
simple
Simple Random
Simple Random Sample
size
softlaunch
Stage Units
statistical field studies
survey methodology
unbiased
Unbiased Estimator
unit
Vp
Product details
- ISBN 9781466577565
- Weight: 340g
- Dimensions: 156 x 234mm
- Publication Date: 20 Aug 2014
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
- Language: English
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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 how adaptive sampling is strengthened in information content through subsidiary sampling with devices to mitigate unmanageable expanding sample sizes. Empirical data illustrates the applicability of both methods.
Chaudhuri, Arijit
