Items related to Adaptive Sampling
Synopsis
Offering a viable solution to the long-standing problem ofestimating the abundance of rare, clustered populations, adaptivesampling designs are rapidly gaining prominence in the natural andsocial sciences as well as in other fields with inherentlydifficult sampling situations. In marked contrast to conventionalsampling designs, in which the entire sample of units to beobserved is fixed prior to the survey, adaptive sampling strategiesallow for increased sampling intensity depending upon observationsmade during the survey. For example, in a survey to assess theabundance of a rare animal species, neighboring sites may be addedto the sample whenever the species is encountered during thesurvey. In an epidemiological survey of a contagious or geneticallylinked disease, sampling intensity may be increased wheneverprevalence of the disease is encountered.
Written by two acknowledged experts in this emerging field, thisbook offers researchers their first comprehensive introduction toadaptive sampling. An ideal reference for statisticians conductingresearch in survey designs and spatial statistics as well asresearchers working in the environmental, ecological, publichealth, and biomedical sciences.
Adaptive Sampling:
* Provides a comprehensive, fully integrated introduction toadaptive sampling theory and practice
* Describes recent research findings
* Introduces readers to a wide range of adaptive samplingstrategies and techniques
* Includes numerous real-world examples from environmentalpollution studies, surveys of rare animal and plant species,studies of contagious diseases, marketing surveys, mineral andfossil-fuel assessments, and more
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From the Publisher
This new field has attracted a high level of interest lately due to the remarkable efficiency gain possible for some types of population. Leading researchers in this area offer a cutting-edge, comprehensive look at adaptive sampling designs in which the procedure for selecting the units to include in the sample may depend on observations made during the survey. These strategies provide a solution for the long-standing problem of estimating the abundance of rare, clustered populations.
About the Author
STEVEN K. THOMPSON, PhD, is a professor in the Department ofStatistics at Pennsylvania State University.
GEORGE A. F. SEBER, PhD, is a professor in the Department ofStatistics at the University of Auckland, New Zealand.
"About this title" may belong to another edition of this title.
- PublisherWiley-Interscience
- Publication date1996
- ISBN 10 0471558710
- ISBN 13 9780471558712
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages288
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Adaptive Sampling
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John Wiley & Sons, 1996
ISBN 10: 0471558710
ISBN 13: 9780471558712
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Hardcover. Condition: Fine. First edition. 24 x 16 cm. Octavo. 265pp. Bound in glossy dark blue boards. References, index, equations. Wiley Series in Probability and Statistics. Chapter headings include: fixed-population sampling theory, stochastic population sampling theory, adaptive cluster sampling, efficiency and sample size issues, adaptive allocation in stratified sampling, optimal sampling strategies. Seller Inventory # 68763
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Adaptive Sampling Wiley Series in Probability and Statistics
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Adaptive Sampling ; Wiley Series in Probability and Statistics
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Hardcover. 265 p. Very good condition. Reading pages are clean and without markings. Slight signs of storage and use. Spine edge slightly bumped. Book edge slightly bumped. Otherwise a neat copy. 9780471558712 Sprache: Englisch Gewicht in Gramm: 562. Seller Inventory # 238430
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