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791 datasets for “numerical accuracies”

  1. data.gov.au

    Assessing the accuracy of predictive models for numerical data: Not r nor r2, why not? Then what?

    Geoscience Australia DataUpdated 18 Nov 2025

    … Li J (2017) Assessing the accuracy of predictive models for numerical data: Not r nor r2, why not …

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  2. Data.gov Catalog

    NIST Statistical Reference Datasets - SRD 140

    National Institute of Standards and TechnologyUpdated 20 Nov 2003

    The purpose of this project is to improve the accuracy of statistical software by providing reference datasets with …

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  3. GovData Germany

    mpNRG PSFs used in: "Computing and compressing local vertex functions in imaginary and real frequencies from the multipoint numerical renormalization group using quantics tensor cross interpolation"

    open.bydataUpdated 11 Nov 2026

    The multipoint numerical renormalization group (mpNRG) is a powerful impurity solver that provides accurate spectral data useful for …

    • ZIP
  4. data.gov.au

    WAMSI 2 - Dredging Node - Project 3.1.3 - Numerical modelling of dredge plumes: a review

    Western Australian Marine Science InstitutionUpdated 20 Dec 2025

    … We assess factors contributing to the accuracy in model predictions and the effectiveness of monitoring and managing the …

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  5. data.gov.au

    WAMSI 2 - Dredging Node - Project 3.1.3 - Numerical modelling of dredge plumes: a review

    Australian Ocean Data NetworkUpdated 23 Jun 2025

    … We assess factors contributing to the accuracy in model predictions and the effectiveness of monitoring and managing the …

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  6. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 16 Oct 2025

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  7. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 20 Jan 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  8. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 2 Mar 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  9. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 7 Mar 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  10. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 25 Mar 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  11. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 20 Apr 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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    • HTML
  12. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 30 Apr 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  13. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 14 May 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  14. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 11 Jan 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

    • PDF
    • HTML
  15. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 23 Jan 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

    • PDF
    • HTML
  16. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 12 Feb 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

    • PDF
    • HTML
  17. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 5 Mar 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

    • PDF
    • HTML
  18. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 16 Mar 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

    • PDF
    • HTML
  19. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 29 Mar 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

    • PDF
    • HTML
  20. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 4 Apr 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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    • HTML
“numerical accuracies” datasets · Open Data Finder