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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 desig

• Title : Adaptive Sampling
• Author : Steven K. Thompson
• Rating : 4.82 (631 Vote)
• Publish : 2016-11-7
• Format : Hardcover
• Pages : 288 Pages
• Asin : 0471558710
• Language : English

. 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

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. 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. 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. Offering a viable solution to the long-standing problem of estimating the abundance of rare, clustered populations, adaptive sampling designs are rapi

. F. THOMPSON, PhD, is a professor in the Department of Statistics at Pennsylvania State University. GEORGE A. SEBER, PhD, is a professor in the Department of Statistics at the University of Auckland, New Zealand. STEVEN K

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