Sampling Theory
For the Ecological and Natural Resource Sciences
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Product details:
- Publisher OUP Oxford
- Date of Publication 1 October 2019
- ISBN 9780198815808
- Binding Paperback
- No. of pages360 pages
- Size 245x188x17 mm
- Weight 782 g
- Language English 0
Categories
Short description:
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.
MoreLong description:
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.
Table of Contents:
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: Mathematical Foundations
