Sampling theory considers how methods for selection of a subset of units from a finite population (a sample) affect the accuracy of estimates of descriptive population parameters (mean, total, proportion). Although a sound knowledge of sampling theory principles would seem essential for ecologists and natural resource scientists, the subject tends to be somewhat overlooked in contrast to other core statistical topics such as regression analysis, experimental design, and multivariate statistics. This introductory text aims to redress this imbalance by specifically targeting ecologists and resource scientists, and 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 some attention is given to model-based prediction and sampling from infinite populations.^l Sampling Theory is an introductory textbook suitable for advanced undergraduates, graduate students, professional researchers, and practitioners in the fields of ecology, evolution, conservation biology, and natural resource sciences (including fisheries, wildlife, rangeland, ecology and forestry).

"I echo what the authors identified as a general lack of formal training into sampling theory. Sampling Theory has filled a gap in my lack of knowledge surrounding certain designs and analytical concepts, so this book should also be a good resource for applied ecologists and researchers, and as the primary text in a graduate-level course on sampling design." - Stephen L. Webb, Journal of Wildlife Management

"A good introduction to a difficult subject . . . The volume is easy to read if one can handle the mathematics and statistical theory required. There are many interesting examples (I especially like the one about hunting mushrooms) to motivate readers. Many exercises are also given at the end of most chapters." - F. James Rohlf, Stony Brook University, The Quarterly Review of Biology