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Filtering by: Funding statement RWM and RPS thank NSF for support through NSF OCE 0958002. We further thank NSF for supporting the SedDB project (NSF OCE 0453958 and OCE 0826197). Remove constraint Funding statement: RWM and RPS thank NSF for support through NSF OCE 0958002. We further thank NSF for supporting the SedDB project (NSF OCE 0453958 and OCE 0826197).

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  • PisiasNicklasCEOASMultivariateStatisticalAnalysis.pdf

    Creator:
    Pisias, Nicklas G., Murray, Richard W., and Scudder, Rachel P.
    Abstract:
    Multivariate statistical treatments of large data sets in sedimentary geochemical and other fields are rapidly becoming more popular as analytical and computational capabilities expand. Because geochemical data sets present a unique set of conditions (e.g., the closed array), application of generic off-the-shelf applications is not straightforward and can yield misleading...
    Full Text:
    2013. Acknowledgments [22] RWM and RPS thank NSF for support through NSF OCE 0958002. We further