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Adaptive Sampling

By: Thompson, Steven KContributor(s): Seber, George A.FMaterial type: Text

TextSeries: 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	Main Library Reference	Reference	519.52 THO (Browse shelf(Opens below))	Available		004390
Reference Books	Main Library Reference	Reference	519.52 THO (Browse shelf(Opens below))	Available		004389

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Previous	519.52 THO Adaptive Sampling	519.52 THO Sampling	519.52 THO Sampling	519.52 THO Adaptive Sampling	519.52076 HAD Solutions manual to accompany sampling of populations : methods and applications ; by Paul S. Levy and Stanley Lemeshow	519.52076 SON Student solutions manual for Scheaffer, Mendenhall, and Ott's elementary survey sampling	519.53 NET Applied linear statistical models : regression, analysis of variance, and experimental designs	Next

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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