Introduction -- Basic concepts -- Equal probability sampling -- Systematic sampling -- Stratified sampling -- Single-stage cluster sampling : Clusters of equal size -- Ratio and regression estimation -- Unequal probability sampling -- Multi-stage sampling -- Multi-phase sampling -- Adaptive sampling -- Spatially balanced sampling -- Sampling through time -- Appendix A : Mathematical foundations
Summary
This introductory text is specifically targeted at ecologists and resource scientists, illustrating how sampling theory can be applied in a wide variety of resource contexts. The emphasis throughout is on design-based sampling from finite populations but attention is also given to model-based prediction and sampling from infinite populations
Bibliography
Includes bibliographical references (pages 329-336) and index
Notes
Online resource; title from pdf of title page (Oxford Scholarship Online, viewed February 12, 2020)