Adaptive Sampling

About this book

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.

Contents

Fixed-Population Sampling Theory. 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. References. Index.

Customer Reviews

Biography

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.