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    Quantitative methods II: Issues of inference in quantitative human geography


    Brunsdon, Chris (2017) Quantitative methods II: Issues of inference in quantitative human geography. Progress in Human Geography, 41 (4). pp. 512-523. ISSN 0309-1325

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    Abstract

    Although classical significance testing is the most commonly used inferential technique in quantitative geography, it is far from the only choice, and in some circumstances may not be the most appropriate. In the statistical literature and other disciplines, its utility has come under question in a number of contexts. This report overviews current progress in the development of quantitative inferential approaches, and considers their use and appropriateness in a number of human geographical contexts.

    Item Type: Article
    Additional Information: Cite as: Brunsdon C. Quantitative methods II: Issues of inference in quantitative human geography. Progress in Human Geography. 2017;41(4):512-523. doi:10.1177/0309132516648020
    Keywords: Bayesian; inference; statistical testing; visualization;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Faculty of Social Sciences > Geography
    Item ID: 14729
    Identification Number: https://doi.org/10.1177/0309132516648020
    Depositing User: Prof. Chris Brunsdon
    Date Deposited: 30 Aug 2021 14:57
    Journal or Publication Title: Progress in Human Geography
    Publisher: Sage
    Refereed: Yes
    URI:

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