Items related to Adaptive Sampling: 231 (Wiley Series in Probability...
Synopsis
Offering a viable solution to the long-standing problem of estimating the abundance of rare, clustered populations, adaptive sampling designs are rapidly gaining prominence in the natural and social sciences as well as in other fields with inherently difficult sampling situations. In marked contrast to conventional sampling designs, in which the entire sample of units to be observed is fixed prior to the survey, adaptive sampling strategies allow for increased sampling intensity depending upon observations made during the survey. For example, in a survey to assess the abundance of a rare animal species, neighboring sites may be added to the sample whenever the species is encountered during the survey. In an epidemiological survey of a contagious or genetically linked disease, sampling intensity may be increased whenever prevalence of the disease is encountered. Written by two acknowledged experts in this emerging field, this book offers researchers their first comprehensive introduction to adaptive sampling. An ideal reference for statisticians conducting research in survey designs and spatial statistics as well as researchers working in the environmental, ecological, public health, and biomedical sciences. Adaptive Sampling: Provides a comprehensive, fully integrated introduction to adaptive sampling theory and practice Describes recent research findings Introduces readers to a wide range of adaptive sampling strategies and techniques Includes numerous real-world examples from environmental pollution studies, surveys of rare animal and plant species, studies of contagious diseases, marketing surveys, mineral and fossil-fuel assessments, and more
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Synopsis
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.
About the Author
STEVEN K. THOMPSON, PhD, is a professor in the Department of Statistics at Pennsylvania State University. GEORGE A. F. SEBER, PhD, is a professor in the Department of Statistics at the University of Auckland, New Zealand.
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- PublisherJohn Wiley & Sons
- Publication date1996
- ISBN 10 0471558710
- ISBN 13 9780471558712
- BindingHardcover
- Edition number1
- Number of pages286
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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
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