Adaptive Sampling

By: Thompson, Steven KContributor(s): Seber, George A.FMaterial type: TextTextSeries: Wiley series in probability and statistics., Probability and statisticsPublication details: New York : Wiley, ©1996Description: xi, 265 pages : illustrationsISBN: 9780471558712; 0471558710 Subject(s): Adaptive sampling (Statistics)DDC classification: 519.52
Contents:
1. Introduction and Preliminaries -- 2. Fixed-Population Sampling Theory -- 3. Stochastic Population Sampling Theory -- 4. Adaptive Cluster Sampling -- 5. Efficiency and Sample Size Issues -- 6. Adaptive Cluster Sampling Based on Order Statistics -- 7. Adaptive Allocation in Stratified Sampling -- 8. Multivariate Aspects of Adaptive Sampling -- 9. Detectability in Adaptive Sampling -- 10. Optimal Sampling Strategies.
Summary: This book discusses adaptive sampling designs which are used in surveys where data collection requires modification as a result of observations made during the process. The strategies detailed in the book offer solutions to the long-standing problem of estimating the abundance of rare, clustered populations.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Books Reference Books Main Library
Reference 		Reference 519.52 THO (Browse shelf(Opens below)) Available 004390
Reference Books Reference Books Main Library
Reference 		Reference 519.52 THO (Browse shelf(Opens below)) Available 004389
Total holds: 0

Includes Index

1. Introduction and Preliminaries --
2. Fixed-Population Sampling Theory --
3. Stochastic Population Sampling Theory --
4. Adaptive Cluster Sampling --
5. Efficiency and Sample Size Issues --
6. Adaptive Cluster Sampling Based on Order Statistics --
7. Adaptive Allocation in Stratified Sampling --
8. Multivariate Aspects of Adaptive Sampling --
9. Detectability in Adaptive Sampling --
10. Optimal Sampling Strategies.

This book discusses adaptive sampling designs which are used in surveys where data collection requires modification as a result of observations made during the process. The strategies detailed in the book offer solutions to the long-standing problem of estimating the abundance of rare, clustered populations.

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