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.
- 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
Stochastic Population Sampling Theory.
Adaptive Cluster Sampling.
Efficiency and Sample Size Issues.
Adaptive Cluster Sampling Based on Order Statistics.
Adaptive Allocation in Stratified Sampling.
Multivariate Aspects of Adaptive Sampling.
Detectability in Adaptive Sampling.
Optimal Sampling Strategies.
GEORGE A. F. SEBER, PhD, is a professor in the Department of Statistics at the University of Auckland, New Zealand.