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Design-based and model-based inference in survey sampling: appreciating the difference

Timothy Gregoire

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    Publication Date
    OCT
    Journal
    CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE
    Location
    https://doi.org/10.1139/cjfr-28-10-1429
    Citation
    Gregoire, T. . (1998). Design-based and model-based inference in survey sampling: appreciating the difference. CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE, 28(10), 1429-1447. https://doi.org/10.1139/cjfr-28-10-1429 (Original work published 2024)

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    Faculty
    Timothy G. Gregoire

    Timothy G. Gregoire J. P. Weyerhaeuser, Jr., Professor of Forest Management

    Abstract

    Model-based ideas in finite-population sampling have received renewed discussion in recent years. Their relationship to the classical ideas in sampling theory do not appear to be universally well understood by samplers in applied disciplines such as forestry, and ecology more broadly. The two inferential paradigms are constrasted, and explanations are supplemented with examples of discrete as well as continuously distributed populations. The treatment of spatial structure is examined, also.