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Sampling Theory – For the Ecological and Natural Resource Sciences - Oxford Scholarship Online
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Sampling Theory: For the Ecological and Natural Resource Sciences

David Hankin, Michael S. Mohr, and Kenneth B. Newman

Abstract

We present a rigorous but understandable introduction to the field of sampling theory for ecologists and natural resource scientists. Sampling theory concerns itself with development of procedures for random selection of a subset of units, a sample, from a larger finite population, and with how to best use sample data to make scientifically and statistically sound inferences about the population as a whole. The inferences fall into two broad categories: (a) estimation of simple descriptive population parameters, such as means, totals, or proportions, for variables of interest, and (b) estimati ... More

Keywords: sampling, sampling theory, design-based, estimation, random, finite population

Bibliographic Information

Print publication date: 2019 Print ISBN-13: 9780198815792
Published to Oxford Scholarship Online: December 2019 DOI:10.1093/oso/9780198815792.001.0001

Authors

Affiliations are at time of print publication.

David Hankin, author
Professor Emeritus, Humboldt State University, USA

Michael S. Mohr, author
Fisheries Investigation Chief, NOAA Southwest Fisheries Science Center, USA

Kenneth B. Newman, author
Reader, School of Mathematics, University of Edinburgh, UK