Journal
REMOTE SENSING OF ENVIRONMENT
Volume 72, Issue 1, Pages 35-45Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/S0034-4257(99)00090-5
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Sampling inference is the process of generalizing from sample data to make statements or draw conclusions about a population. Design-based inference is the inferential framework commonly invoked when sampling techniques are used in thematic map accuracy assessment. The conceptual basis of design-based inference is described, followed by discussion of practical implications of design-based inference, including (1) the population to which the inferences apply, (2) estimation formulas and their justification, (3) interpretation of accuracy measures, (4) representation of variability, (5) effect of spatial correlation, and (6) role of probability sampling. Design-based inference is contrasted with model-based inference, another inferential framework frequently invoked in statistics. (C)Elsevier Science Inc., 2000.
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